Department of Engineering Sciences 
(विज्ञानं सर्वेषां विषयाणां मूलम् अस्ति),

About the Department 

Vision of the Department

• To develop a strong scientific foundation of Engineering Sciences to pursue a successful engineering career.

Mission of the Department

• To inculcate ability and proficiency in the students in the field of basic and engineering sciences so that they can apply these fundamentals in real world applications.
• To introduce the students with novel innovations and cutting-edge technologies.
• To establish Centre of Excellence in niche areas.
• To promote and strengthen R & D programs with other technical institutions in India and abroad.

1. B.Tech. (Mathematics & Scientific Computing) 4-year program.
2. MS in Artificial Intelligence and Data Science
3. Ph.D. program in Engineering Sciences (Physics & Mathematics) and other related areas.

Career Opportunities
*After PhD

*After MS in Artificial Intelligence and Data Science

*After BTech in Mathematics and Scientific Computing

• All PG Programmes Course of Study (batch 2025 onwards)
• All PG Programmes Schema (batch 2025 onwards)

Head of the Department
 Prof. Anurag Srivastava Ph.D.(Barkatullah University, Bhopal) ; PDF (Uppsala University, Sweden)

Areas of Interest: Nano Electronics, Energy and Environment, Entrepreneurship, Startups, IT Localization, E-Governance, IT Applications.

Address (Office): Room No - E106, Academic Block - E, ABV-IIITM Gwalior, Morena Link Road, Gwalior-474015 (M.P.)- INDIA

Phone (Office): +91-751-2449624

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.  

List of Sponsored Projects

Financial Year 2020-2021

                                                                                            
Financial Year 2021-2022

                                                                                       
Financial Year 2022-2023

                                                                                   
Financial Year 2023-2024

                                                                                       
Financial Year 2023-2024

Financial Year 2024-2025

Financial Year 2024-2025

 Financial Year 2025-2026

List of Awards

 List of Patents

1. Sisodiya, O. S., Misra, O. P., & Dhar, J. (2023). Analysis of a temperature-dependent model for water-borne disease transmission dynamics. International Journal of Dynamics and Control, 1-15.
2. J Gupta, J Dhar, P Sinha (2022), Infection dynamics of rabbit and red fox with alternative prey, Journal of Mathematics and Computer Science 29 (3), 214-238.
3. RS Tomar, J Dhar, A Kumar (2022), Co-infection dynamics of two short term diseases with effect of recovery delay Journal of Mathematics and Computer Science 29 (4), 356-368.
4. V Pradhan, A Kumar, J Dhar (2022), Emerging trends and future directions in software reliability growth modeling, Engineering Reliability and Risk Assessment, 131-144.
5. J Gupta, J Dhar, P Sinha (2022), An eco-epidemic model with seasonal variability: a non-autonomous model, Arabian Journal of Mathematics 11 (3), 521-538.
6. RJ Suji, WW Godfrey, J Dhar (2022), An optical flow visualization based pipeline for lung nodule segmentation, 2022 IEEE 6th Conference on Information and Communication Technology (CICT), 1-5.
7. A Jain, S Nagar, PK Singh, J Dhar (2022), A hybrid learning-based genetic and grey-wolf optimizer for global optimization, Soft Computing, 1-47.
8. M Chaudhary, J Dhar, OP Misra (2022), Deleterious effects of legal and illegal logging on forestry biomass using a dynamical model, AIP Conference Proceedings 2451 (1), 020004.
9. N Kunhare, R Tiwari, J Dhar (2022), Intrusion detection system using hybrid classifiers with meta-heuristic algorithms for the optimization and feature selection by genetic algorithm, Computers and Electrical Engineering 103, 108383.
10. V Pradhan, J Dhar, A Kumar (2022), Software Reliability Models and Multi-attribute Utility Function Based Strategic Decision for Release Time Optimization, Predictive Analytics in System Reliability, 175-190.
11. RJ Suji, WW Godfrey, J Dhar (2022), Border to border distance based lung parenchyma segmentation including juxta-pleural nodules, Multimedia Tools and Applications, 1-23.
12. V Garg, R Tiwari, A Shukla, J Dhar (2022), A distributed cooperative approach for dynamic target search using particle swarm optimization with limited intercommunication, Arabian Journal for Science and Engineering 47 (8), 10623-10637.
13. A Sharma, B Gupta, J Dhar, SK Srivastava, P Sharma (2022), Stability analysis and optimal impulsive harvesting for a delayed stage-structured self-dependent two compartment commercial fishery model, International Journal of Dynamics and Control 10 (4), 1119-1129.
14. OS Sisodiya, OP Misra, J Dhar (2022), Modeling effects of impulsive control strategies on the spread of mosquito borne disease: role of latent period, Journal of Applied Mathematics and Computing 68 (4), 2589-2615.
15. OP Misra, J Dhar, OS Sisodiya (2022), Modeling and analysis of the transmission dynamics of mosquito-borne disease with environmental temperature fluctuation, International Journal of Modeling, Simulation, and Scientific Computing 13(3), 2250013.
16. F Karim, S Chauhan, J Dhar (2022), Analysing an epidemic–economic model in the presence of novel corona virus infection: capital stabilization, media effect, and the role of vaccine, The European Physical Journal Special Topics, 1-18.
17. S Chugh, Rk Guha, J Dhar (2022), An Innovation Diffusion Model In Partial Competitive And Cooperative Market: Analysis With Two Innovations, J. Appl. & Pure Math. 4 (1-2), 27-36.
18. V Pradhan, J Dhar, A Kumar (2022), Testing-Effort based NHPP Software Reliability Growth Model with Change-point Approach, Journal of Information Science & Engineering 38 (2).
19. Vishal Pradhan, Ajay Kumar, Joydip Dhar (2022), Modelling software reliability growth through generalized inflection S-shaped fault reduction factor and optimal release time, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 236, 18-36.
20. V Pradhan, A Kumar, J Dhar (2022), Modeling Multi‐Release Open Source Software Reliability Growth Process with Generalized Modified Weibull Distribution, Evolving Software Processes: Trends and Future Directions, 123-133.
21. V Pradhan, A Kumar, J Dhar (2022), Enhanced growth model of software reliability with generalized inflection S-shaped testing-effort function, Journal of Interdisciplinary Mathematics 25 (1), 137-153.
22. V Pradhan, G Tripathi, A Kumar, J Dhar (2022), Release Time Analysis Of Open Source Software Using Entropy And Reliability, Reliability: Theory & Applications 17 (2 (68)), 307-316.
23. Jyoti Gupta, Joydip Dhar, Poonam Sinha (2022), An Eco-Epidemic Dynamics with Incubation Delay of CDV on Amur Tiger, Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy: Proceedings of the Second International Conference, MMCITRE 2021, 255-268.
24. A Jain, S Nagar, PK Singh, J Dhar (2022), ADC@?r: Adaptive divisional categorization of ratings under rating threshold ?r for similarity computation in recommendation systems, Applied Intelligence 52 (2), 2134-2153.
25. Katta, S. S., Yadav, S., Singh, A. P., Santhi Bhushan, B., & Srivastava, A. (2022). Investigation of pristine and B/N/Pt/Au/Pd doped single-walled carbon nanotube as phosgene gas sensor: A first-principles analysis. Applied Surface Science, 588, 152989.
26. Gaurav, K., SanthiBhushan, B., Gutierrez, G., Ahuja, R., & Srivastava, A. (2022). Trans-polyacetylene based organic spin valve for a multifunctional spin-based device: A first principle analysis. Journal of Science: Advanced Materials and Devices, 7(3), 100459.
27. Agrawal, S., Srivastava, A., & Kaushal, G. (2022, March). Electron Transport in N-functionalised Armchair Graphene Nanoribbons: Computational Insight. In IOP Conference Series: Materials Science and Engineering (Vol. 1221, No. 1, p. 012053). IOP Publishing.
28. Agrawal, S., Srivastava, A., Kaushal, G., & Srivastava, A. (2022). Edge engineered graphene nanoribbons as nanoscale interconnect: DFT analysis. IEEE Transactions on Nanotechnology, 21, 43-51.
29. Sneha Upadhyay and Pankaj Srivastava, “Enhanced DFT insights of doped phosphorene: Structural and electronic considerations”, Computational and Theoretical Chemistry (Elsevier), 1214 (2022), 113754.
30. Kumar, A., Pattanaik, M., Srivastava, P., & Rajput, A. K. (2022). GAAFET based SRAM Cell to Enhance Stability for Low Power Applications. Silicon, p. 12.
31. KK Jha, SK Jain, NK Jaiswal and Pankaj Srivastava, “Structural and spin-dependent electronic properties of triangular/zigzag boron nitride nanowires, “IOP conference Series: Materials science and Engineering, 1248 012072 (2022).
32. Upadhyay and P. Srivastava, “Study of Sodium Storage and Diffusion over Phosphorene using Density Functional Theory,” Springer Proceedings in Physics, 271, pp. 329-337, 2022 (ISSN: 0930-8989).
33. Poorva Nayak, Deepika Jha, Pankaj Srivastava, Dinesh. C Gupta, “Enhanced transport properties of PtSb3 Skutterudite as a result of modified Becke-Johnson Modelling; Through-ab-initio Calculations”, 66^thDAE Solid State Physics Symposium (DAE SSPS 2022) at BIT Mesra, Ranchi, Jharkhand, India, during December 18-22, 2022.
34. Sneha Upadhyay, Pankaj Srivastava (2022), Study of Sodium Storage and Diffusion Over Phosphorene Using Density Functional Theory, Proceedings of the International Conference on Atomic, Molecular, Optical & Nano Physics with Applications: CAMNP 2019, pp 329-337.
35. Kumar R. Kushwaha, S. Tapaswi (2022), A Novel Technique for Gateway Selection in Hybrid MANET Using Genetic Algorithm, Wireless Personal Communications, 126, pages 1273–1299.
36. S Nagar, A Jain, PK Singh, A Kumar (2022), Adaptive optimal multi-features learning based representation for face hallucination, Expert Systems with Applications 190, 116141.
37. V Pradhan, J Dhar, A Kumar (2022), Testing-Effort based NHPP Software Reliability Growth Model with Change-point Approach, Journal of Information Science & Engineering 38 (2).
38. A Singh, VS Sharma (2023), Bifurcations and chaos control in a discrete-time prey–predator model with Holling type-II functional response and prey refuge, Journal of Computational and Applied Mathematics 418, 114666.
39. A Singh, H Nair (2022), A Neural Architecture Search for Automated Multimodal Learning, Expert Systems with Applications 207, 118051.
40. A Singh, AK Bhamboo, Crop Recommendation and Disease Detection Using Deep Neural Networks, 2022 IEEE 6th Conference on Information and Communication Technology (CICT), 1-5.
41. A Singh, VS Kushwaha (2022), Result Publishing System Using Asymmetric Key Encryption, 2022 IEEE 6th Conference on Information and Communication Technology (CICT), 1-4.
42. A Singh, P Garg, H Singh (2022), Effect of Timers on the Keystroke Pattern of the Student in a Computer Based Exam, 2022 IEEE 6th Conference on Information and Communication Technology (CICT), 1-6.
43. A Singh, VS Sharma (2022), Codimension-2 bifurcation in a discrete predator–prey system with constant yield predator harvesting, International Journal of Biomathematics.
44. A Singh, P Deolia (2022), COVID-19 outbreak: a predictive mathematical study incorporating shedding effect, Journal of Applied Mathematics and Computing, 1-30.
45. A Singh, S Raj (2022), Securing password using dynamic password policy generator algorithm, Journal of King Saud University-Computer and Information Sciences 34 (4), 1357-1361.
46. Pragya Shukla, S. K. Upadhyay (2022), Wavelet multiplier associated with the Watson transform, Revista de la Real Academia deCiencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 117(46).
47. H M Srivasatava, Pragya Shukla, and S. K. Upadhyay (2022), The localization operator and wavelet multipliers involving Watson transform, Journal of Pseudo-Differential Operators and Applications, 13.
48. K. Upadhyay, Pragya Shukla (2023), Watson wavelet transform: Convolution product and two wavelet multipliers, Fractals, Word Scientific.
49. S Jeevaraj, R Rajesh, V Lakshmana Gomathi Nayagam (2022), A complete ranking of trapezoidal-valued intuitionistic fuzzy number: an application in evaluating social sustainability, Neural Computing and Applications, 1-24.
50. S Jeevaraj (2022), A note on multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers, Soft Computing 26 (21), 11225-11230.
51. Chakraborty, S., Kant, K., & Nelakanti, G. (2022), Error analysis of reiterated projection methods for Hammerstein integral equations. International Journal of Computer Mathematics, 99(10), 2001-2017.
52. Das, P., Kant, K., & Kumar, B. R. (2022). Modified Galerkin method for Volterra-Fredholm-Hammerstein integral equations. Computational and Applied Mathematics, 41(6), 237.
53. Nigam, R., Kant, K., Kumar, B. R., & Nelakanti, G (2022), Approximation Of Weakly Singular Non-Linear Volterra-Urysohn Integral Equations By Piecewise Polynomial Projection Methods Based On Graded Mesh. Journal of Applied Analysis & Computation.
54. Kapil Kant, R Kumar and BVRK (2022), Convergence Analysis for Linear Fredholm and Nonlinear Fredholm Hammerstein Integral Equations, Journal of Basic & Applied Sciences, 18, 2022, 158-165.

List of Workshops/Seminar Conducted

1. Engineering Physics Laboratory (EPL)
2. Computational Nanomaterials Research Laboratory (CNRL)
3. Advanced Material Research Laboratory (AMRL)
4. Mathematical Modelling and Simulation Laboratory (MMSL)
5. Nano-Fluid Experimental Laboratory (NFEL)
6. Quantum Computing Laboratory (QCL)
7. Material Synthesis and Sensor Design Laboratory (MSSDL)
8. Environmental Science laboratory (ESL)
9. Mathematical Biology & Data-Driven Dynamical Systems Lab