Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri

Powering the future of intelligent energy systems through AI-driven innovation

Researchers from the Amrita School of Computing, Amritapuri have published their research titled “A Hybrid PPO–PSO Reinforcement Learning Framework for Adaptive Demand-Side Energy Management” in Discover Artificial Intelligence (Springer) — a Q1 journal with a CiteScore of 6.

The work proposes a hybrid AI framework integrating deep learning, reinforcement learning, and physics-informed neural networks to improve adaptive demand-side management in smart energy systems. Using a Hybrid PPO–PSO optimization model, the study demonstrated:

⚡ Up to 27.1% peak load reduction

💡 18.9% energy cost savings

📈 40–50% faster convergence

🌱 Improved grid stability and sustainable energy management

The framework was validated across residential, commercial, and industrial energy optimization scenarios, highlighting the potential of AI-powered solutions in building reliable and low-carbon smart grids.

Congratulations to the authors:

• Dr. Kiran P

• Ms. Aparna S. Menon

Link to research article: https://link.springer.com/article/10.1007/s44163-026-01394-x

Celebrating another set of placement and internship achievements from the Amrita School of Computing, Amritapuri

👏 Varun Dipu Sankar — placed at LTM
👏 Athulya M — placed at CAMS
👏 Priyamvatha Krishnadas — placed at AppViewX

Their dedication, persistence, and passion for learning have led to these remarkable milestones. We congratulate them on their success and wish them all the very best as they begin exciting new professional journeys ahead.

Pushing the boundaries of AI-powered perception systems for autonomous driving, researchers from the Amrita School of Computing, Amritapuri have published their latest findings in IEEE Access.

The paper, “Hierarchical Semantic Segmentation for Autonomous Driving in Unstructured Traffic,” addresses the complexities of Indian traffic scenarios characterized by uncertain road boundaries, dense traffic movement, and extensive occlusions.

Key highlights of the work include:

✔ Improved Level-2 mIoU through hierarchical cascaded segmentation

✔ Introduction of a Scene Complexity Index (SCI) for traffic scene evaluation

✔ SegFormer-Lite for efficient and real-time deployment with reduced model parameters

This research marks an important step toward building scalable and robust autonomous driving systems for real-world environments.

Kudos to Dr. Namitha K. and Dr. Athi Narayanan for this remarkable achievement.

Link to research article : https://ieeexplore.ieee.org/document/11513256

How are emerging technologies redefining the future of STEM education across the globe?

A recent publication from Amrita published in Humanities and Social Sciences Communications (Nature) (Q1 | Nature Portfolio), explores the transformative role of Artificial Intelligence (AI), Robotics, Extended Reality (XR), and interconnected smart systems in advancing learning, equity, and SDG4 outcomes.

The research was led by ASC faculty members:
🔹 Dr. Prema Nedungadi
🔹 Dr. Thushara M. G.
🔹 Dr. Veena G.
🔹 Dr. Raghu Raman, Amrita School of Business

in collaboration with:
🔹 Dr. Kai-Yu Tang, National Chung Hsing University, Taiwan

Analyzing 1990 global research publications, the study highlights how emerging technologies are enabling:
✨ Future-ready technical and cognitive skill development
✨ Inclusive and equitable STEM learning environments
✨ Immersive and experiential education models
✨ Personalized and collaborative learning experiences through Generative AI and the Metaverse

The work also identifies important research gaps in integrating educational theories with rapidly evolving technologies, paving the way for stronger policy and practice frameworks aligned with SDG4.

Read the publication:
https://www.nature.com/articles/s41599-026-06565-w?

The Industry Expert Talk on “Defending Systems from Browser to Network Perimeter” was successfully conducted for the S6 CSE students of Amrita Vishwa Vidyapeetham as part of the Foundations of Cyber Security course.
The session, delivered by Rahul PK, NetSPI , offered students valuable exposure to real-world cybersecurity practices, covering browser security, web application defense, network protection mechanisms, and enterprise perimeter security. The interactive session was highly engaging and well received by the students, providing meaningful industry insights and practical perspectives on modern cyber defense strategies.

Organized by the AI and Distributed Systems TAG of Amrita School of Computing in association with the Ministry of Electronics and Information Technology’s Capacity Building (CB) Programme, the event aimed to bridge academic learning with contemporary industry expertise and evolving cybersecurity challenges.

The session served as an enriching platform for students to understand real-world deployment methodologies, security architectures, and emerging practices in distributed environments.

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From ideas to innovation — our students are making their mark on the global startup stage!

We are proud to share that KK Surendran and Hridesh MG MG from the Amrita School of Computing were selected to attend the prestigious Y Combinator Startup School event held in Bengaluru.

This exclusive gathering brought together nearly 2000 handpicked builders, founders, CEOs, and professionals from across India to foster innovation, entrepreneurship, and meaningful networking opportunities. Notably, this marks the first time Startup School was conducted in India.

As part of the program, both students were awarded AI cloud credits worth ₹23 lakhs each (AWS/Azure credits) to support the development and scaling of innovative product ideas.

Their participation reflects the growing spirit of entrepreneurship, innovation, and technology-driven problem solving among our students.

Congratulations to Surendran and Hridesh on this remarkable achievement!

Congratulations to our brilliant students from the B.Tech CSE 2022–2026 batch on securing placements at Cognizant

👏 R Devika
👏 Nithya Viju
👏 Adarsh Sudheer

Your dedication, perseverance, and hard work have paved the way for this achievement. Wishing you all the very best as you step into an exciting professional journey ahead.

A notable research contribution from Amrita School of Computing, Amritapuri has been published in the prestigious International Journal of Artificial Intelligence in Education (IJAIED) — a Q1 journal with an Impact Factor of 8.5 and CiteScore of 15.4.

The work was carried out by:
• Mr. Pradeesh Narayanan Kutty., PhD Scholar, Amrita School of Computing, Amritapuri
• Dr. Gopakumar G., Amrita School of Computing, Amritapuri
• Dr. Rahul Krishnan Pathinarupothi, Center for Wireless Networks & Applications (AmritaWNA) , Amritapuri
• Dr. Shivsubramani Krishnamoorthy (Br. Ramanandamrita Chaitanya), Amrita School of Computing, Amritapuri

This publication highlights the institution’s continued focus on impactful interdisciplinary research at the intersection of Artificial Intelligence, Learning Analytics, and Educational Technology.
Read the research article here: https://www.sciencedirect.com/science/article/pii/S1560429226000077?via%3Dihub

🚀 Begin Your Research Journey Early with Direct Ph.D Admissions 2026 at Amrita Vishwa Vidyapeetham

An exclusive opportunity for high-performing B.Tech graduates to fast-track into advanced research and innovation.
🔹 Direct entry into Ph.D after UG
🔹 Research areas in AI, Robotics, Cybersecurity, Data Science, Computational Linguistics, Assistive Technology & more
🔹 Campus: Amritapuri
🔹 Commencement: July 2026

If you are passionate about research and ready to shape the future through innovation, this pathway is designed for you.

📩 Contact: [email protected]
📞 +91 476 280 2011

🚀 Exploring Intelligence Beyond Resolution

Dr. Akshara P. Byju is inviting PhD scholars to work in the exciting area of **Small Target Detection in Hyperspectral Imaging** — where AI, remote sensing, and spectral intelligence come together to solve real-world challenges.

🔍 Research areas include:
• Hyperspectral Imaging
• AI & Deep Learning
• Remote Sensing
• Small Target Detection

Applications span environmental monitoring, surveillance, and resource exploration.

📩 Apply / Connect
Email: [[email protected]](mailto:[email protected])
Subject: PhD Admissions – Dr Akshara

🚘 Advancing smarter 3D mapping for autonomous systems!

Researchers from Amrita School of Computing, Amritapuri — Ms. Anila Johnson and Dr. Divya Udayan J — have published their work in PLOS ONE (Q1 Journal), introducing RANDT, a novel framework for accurate and robust LiDAR point cloud scan matching.

🌍 International collaborators:
•⁠ ⁠Dr. Umashankar Subramaniam – Prince Sultan University, Saudi Arabia
•⁠ ⁠Dr. HyungSeok Kim – Konkuk University, South Korea

📈 The work achieved improved accuracy, reduced errors, and better point density uniformity in 3D mapping datasets.

🔗 Read more: https://doi.org/10.1371/journal.pone.0345709