1st International Conference on Mathematical Optimization Theory and Applications
(ICMOTA) at IIT BHU
14th - 16th March 2026
14 First-year B. Tech students along with two faculty members, Dr. Sakshi Gupta and Prof. Dixita Barua of Dronacharya College of Engineering participated in the 1st International Conference on Mathematical Optimization Theory and Applications held at IIT (BHU), Varanasi, from 14th -16th March, 2026. All participating students successfully presented their research papers at this prestigious international platform, reflecting the college’s strong emphasis on research-driven learning, analytical thinking, and academic excellence.
The conference brought together researchers, academicians, and industry experts from across the globe to discuss recent developments in mathematical optimization. Key areas of focus included stochastic and deterministic optimization, combinatorial and bilevel optimization, convex analysis, and advanced computational techniques. The event also highlighted real-world applications in engineering systems, data science, communication networks, and decision-making under uncertainty.
Students from Dronacharya College of Engineering showcased a diverse range of research contributions addressing contemporary optimization challenges. Their work effectively combined mathematical modelling, algorithm design, and computational tools to solve practical problems, demonstrating both theoretical depth and applied relevance.
Under the mentorship of Dr. Sakshi Gupta, nine students presented research focused on applied optimization in engineering, data science, and network systems. Their topics included resource allocation in ERP systems, fuel-optimal trajectory design, data-driven optimization techniques, SD-WAN network optimization, reinforcement learning for traffic flow, healthcare network modelling, AI in smart infrastructure, communication network congestion reduction, and aerospace trajectory optimization.
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S.No.
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Name
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Title of Research Paper
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1
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Ritik Gupta
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Optimization of Resource Allocation in Educational ERP Systems using Binary Integer Linear Programming
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2
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Shaurya Singh
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Fuel-Optimal Ascent Trajectory Design for Multi-Stage Launch Vehicles via Hybrid Pseudospectral-SQP Optimization
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3
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Tanishka Gupta
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Mathematical Optimization Techniques in Data Science for Improving Efficiency and Practical Decision-Making
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4
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Rajdeep Singh
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Mixed-Uncertainty Optimization for Joint Bandwidth and Power Allocation in SD-WAN Networks
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5
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Sundaram Jha
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Dynamic Traffic Flow Optimization via Reinforced Learning
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6
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Shreya Pandey
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Graph Theoretic Modeling and Flow Optimization for Healthcare Networks
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7
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Karan Verma
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Engineering Applications of AI in Smart Infrastructure Systems.
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8
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Simran rawat
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Routing Flow Analysis and Traffic-Aware Optimization for Congestion Reduction in Communication Networks
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9
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Kierat Kaur
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Trajectory Optimisation in Aerospace Using Reinforcement Learning
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Under the guidance of Prof. Dixita Barua, five students contributed to theoretical and methodological advancements in optimization and decision sciences. Their research covered areas such as convergence analysis in convex optimization, Bayesian optimization under uncertainty, supply chain resource allocation, comparative studies of optimization techniques, and energy-efficient stochastic optimization for deep learning in smart grid systems.
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S.No.
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Name
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Title of Research Paper
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1
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Anjali Rawat
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Convergence Analysis of the Classical Proximal Gradient Method for Convex Optimization Problems
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2
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Abhishek Dixit
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Uncertainty Quantification and Bayesian Optimization for Predicting Student Academic Performance under Noisy Data
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3
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Navita Pal
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Optimization-Based Resource Allocation in Multi-Echelon Supply Chain Networks Using Linear Programming
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4
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Astha Kumari
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A Comparative Study of Deterministic, Stochastic, and Robust Optimization for Decision-Making Under Uncertainty
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5
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Girish Kumar Yadav
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Energy-Constrained Stochastic Optimization for Efficient Deep Learning in Smart Grid Systems
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The participation of students and faculty from Dronacharya College of Engineering in this international conference marks a significant academic milestone. Their research contributions aligned closely with the core themes of the conference, demonstrating strong integration of theory and application across domains such as machine learning, network optimization, aerospace engineering, and decision analytics.
This experience provided students with valuable exposure to global research trends, enhanced their problem-solving abilities, and encouraged interdisciplinary collaboration. The dedicated mentorship of Dr. Sakshi Gupta and Prof. Dixita Barua played a crucial role in enabling students to produce high-quality research and present it confidently on an international stage.