Poster Presentation in SocProS 2025 at IIT Roorkee

24th - 26th February 2025

Dilip Yadav, Ojasvi Chaudhary, and Juhi Jha (B.Tech first-year students) under the guidance of Prof. Dixita Barua (Faculty, DCE) of Dronacharya College of Engineering, Gurugram, presented poster at the “13th International Conference on Soft Computing for Problem Solving (SocProS 2025)”, held at IIT Roorkee from 24^th – 26^th February, 2025.The conference, themed "Artificial Intelligence for Viksit Bharat," brought together a dynamic mix of researchers, academicians, and industry leaders to explore ground breaking innovations and discuss the transformative potential of AI and Soft Computing in driving India’s development.

Prof. Dixita Barua presented her research “Stress Testing Agricultural Food Supply Chain Viability Using Triangular Fuzzy Numbers” on enhancing Agricultural Food Supply Chain (AFSC) resilience through a novel stress-testing framework at SocProS 2025. Her work highlighted the growing complexity and vulnerability of AFSCs due to disruptions like pandemics, natural disasters, market fluctuations, and geopolitical events, all of which threaten global food security.Traditional risk assessment methods often fall short in capturing the uncertainty and variability inherent in AFSCs. To address this, her research leveraged Fuzzy Logic, specifically Triangular Fuzzy Numbers (TFNs), to create a more adaptive and accurate model for evaluating supply chain risks.The proposed framework assesses AFSC resilience across key dimensions: robustness, adaptability, and recoverability. It offers actionable insights to help stakeholders mitigate vulnerabilities, improve decision-making, and strengthen supply chain recovery capabilities in the face of environmental, political, or economic volatility.

Under the supervision of Prof. Dixita Barua, Dilip Yadav (B.Tech 1^st Year) presented his poster on "Optimizing Food Supply Chain Logistics: A Blockchain and Genetic Algorithm-Based Approach." His research tackled persistent challenges in the global food supply chain, such as inefficient route planning, food spoilage due to delays, and the lack of real-time tracking mechanisms. By integrating Blockchain Technology for secure, transparent record-keeping with Genetic Algorithms (GA) for dynamic route optimization, his model proposed a hybrid solution that enhances real-time decision-making, enables instant route adjustments, and reduces food waste during transportation. This innovative approach aims to bridge the gap between modern and traditional supply chain systems, promoted faster, more reliable, and sustainable logistics 

for perishable goods like dairy, seafood, and fresh vegetables. 

Ojasvi Chaudhary (B.Tech 1^st Year) under the guidance of Prof. Dixita Barua presented poster on “Intelligent Supply Chain Optimization In Mechanical Engineering : A Fuzzy – SWARA IoT Approach” Her research incorporates a novel framework that combines SWARA, Fuzzy logic, and IoT technologies to optimize supply chain decision-making. By leveraging these innovative approaches, the framework enables organizations to achieve Lean, Agile, Resilient, and Sustainable (LARS) supply chain management.

Ms. Juhi Jha under the guidance of Prof. Dixita Barua, presented her poster on “Optimizing Modern Logistics with AI-Driven Swarm Intelligence and IoT.”Her work explores how AI, IoT, and Ant Colony Optimization (ACO) enhance logistics efficiency. AI and IoT enable real-time data-driven decision-making, while ACO optimizes delivery routes dynamically. The integrated system improves cost efficiency, adaptability, and sustainability by reducing fuel consumption and optimizing resource use. Future advancements include blockchain for transparency and quantum computing for route optimization.

One of the key highlights of the conference was the plenary talk on "Woodland and Urban Fires: A Significant Need and Opportunity for AI and Machine Learning" delivered by Prof. David L. Blunck, Associate Dean from the College of Engineering, Oregon State University, USA. His insightful discussion emphasized how AI and machine learning techniques can be leveraged for predictive modeling, early detection, and mitigation of large-scale fire hazards, thus contributing to environmental sustainability and disaster management.

The participants had an enriching interaction with Prof. David L. Blunck, gaining valuable perspectives on global research trends in AI and its applications. Additionally, they attended various technical sessions, panel discussions, and paper presentations on topics related to soft computing, artificial intelligence, and their role in shaping a developed India (Viksit Bharat).

Benefits/Outcome: The conference provided a great learning opportunity, offering exposure to cutting-edge AI research and networking with experts from academia and industry. The insights gained from this event will contribute to further research and academic excellence in the field of AI-driven problem-solving.