Dr. Akash Gupta

Experienced with complex scientific methodologies and research techniques. Utilizes analytical skills to drive meaningful insights and advancements. Strong understanding of materials science domain and data analytics, ensuring accurate and impactful results.

Being Responsible with Generative AI, LinkedIn

(1). Gupta, Akash & Maurya, Sumit & Ardham, Surya & Srimannnarayana, P. & Tennyson, Gerald. (2025). Multiscale Modeling Approach for Alloy Design: Application to Aluminium Alloys with a Focus on Formability. 10.2139/ssrn.5249867. Under review, Solid State Communications, Elsevier

(2). Jha, Ish & Maurya, Sumit & Singh, Saksham & Gupta, Akash. (2025). Application of deep learning for identification of grain boundaries in atomistic simulation data. Modelling and Simulation in Materials Science and Engineering. 33. 10.1088/1361-651X/adfcf0.

(3). Gupta, Akash & Kalidindi, Surya. (2021). Addressing biases in spectral databases for increasing accuracy and computational efficiency of crystal plasticity computations. International Journal of Plasticity. 138. 102945. 10.1016/j.ijplas.2021.102945.

(4). Akash Gupta et al, "Computationally efficient predictions of crystal-plasticity based forming limit diagrams using a spectral database" International Journal of Plasticity (2018); 103: 168-187.

(5). Nellippallil A, De P, Gupta A, Goyal S, and Singh A, "Hot Rolling of a Non‐heat Treatable Aluminum Alloy: Thermo‐Mechanical and Microstructure Evolution Model," Transactions of the Indian Institute of Metals (2016), pp 1‐12.

(6). A Gupta, A Cecen, S Goyal, AK Singh, SR Kalidindi, "Structure–property linkages using a data science approach: application to a non-metallic inclu-sion/steel composite system", Acta Materialia 91 (2015) 239–254.

(7). Akash Gupta, Sharad Goyal, K A Padmanabhan, Amarendra Singh,"Inclusions in steel: micro–macro modelling approach to analyse the effects of inclusions on the properties of steel", (2014), International Journal of Advanced Manufacturing Technology 77(1-4):565-572.

(8). Akash Gupta et. al, "Integrated Modeling of Steel Refining, Casting and Rolling Operations to Obtain Design Set Points for Quality Steel Sheet Production", AIP Conf Proc 1532, 588-594 (2013).

(9). Model based Productivity and Yield Enhancement of Batch Annealing Furnace (BAF). Akash Gupta, Sharad Goyal, A. K. Singh, K. A. Padmanabhan, M. B. N. Raju, Nikhil Ramakrishnan, Vinay Mahashabde, T. Venugopalan, Research report, submitted to Client, (2013).

(1) 'Multi-Agent Artificial Intelligence System for Alloy Design', submitted to IIM ATM (2025), Hyderabad, India.
(2) 'Multiscale modeling approach for alloy design: Application to aluminium alloys with a focus on formability', Materials Week (2025), Frankfurt, Germany.
(3) 'Application of deep learning for identification of grain boundaries in atomistic simulation data', Materials Week (2025), Frankfurt, Germany.
(4) 'ICME Framework for Design of Micro-alloyed electrical steels', CM3P (2025), Porto, Portugal.
(5) 'Microstructure and texture-based micromagnetic simulation framework for the design of magnetic materials', IIM ATM (2024), Bangalore, India.
(6) 'Material Informatics framework for polycrystalline alloys to develop process-structure-property linkages', IIM ATM (2024), Bangalore, India.

Member of IITK Hockey team for 4 years (2006 - 09). Won many medals and was also Captain of team. Awarded as Best Incoming and Outgoing Sports person of IITK for 2006 and 2010 respectively. Head Boy (School Captain), 2004-05. Captain, School Football team and TRDDC team.