Contact Soujanya Syamal
Areas of expertise
- Autonomous Systems
- Computing, Simulation & Modelling
Background
Soujanya Syamal is an engineering professional with a strong foundation in machine learning, artificial intelligence (AI), sensor fusion, and Positioning, Navigation, and Timing (PNT) technologies. He holds an MSc in Connected and Autonomous Vehicle Engineering and a B.Tech in Electronics and Communication Engineering. Currently, Soujanya is pursuing a PhD in Aerospace at Cranfield University, focusing on Autonomous Navigation using LEO satellite signals. His study, conducted at the Centre for Autonomous and Cyber-Physical Systems within the School of Aerospace, Transport and Manufacturing (SATM), spans from April 2024 to April 2027.
Throughout his career, Soujanya has been actively involved in research and development, contributing to the field of autonomous systems through patents and peer-reviewed publications. He is proficient in programming languages such as C, C++, and Python, and is skilled in using deep learning frameworks like TensorFlow and PyTorch.
Soujanya's work has earned him recognition, including the Director's Award for Best Student Contribution and an Intellectual Property Award for his innovative work in AI and autonomous systems. He also received the "Emerging Scientist Award" for his research in autonomous vehicles and AI's application in smart cities.
As a Research Assistant at Cranfield University, Soujanya applies machine learning techniques to improve LEO-PNT precision and efficiency. He is part of the NAVISP project, commissioned by the European Space Agency, where he contributes to the development of the Bayesian-LSTM algorithm for sensor fusion.
In addition to his technical skills, Soujanya is known for his ability to mentor junior students and foster collaboration. His approach to project management and cross-disciplinary collaboration has helped advance projects and contributed to the knowledge in his field.
As he progresses with his PhD studies in Aerospace, focusing on Autonomous Navigation using LEO satellite signals, Soujanya continues to contribute to the field of engineering. His work in autonomous systems and sensor fusion technologies aims to advance these areas further, benefiting both the academic and professional communities.
Current activities
Pursuing a PhD in Aerospace focusing on Autonomous Navigation using LEO satellite signals at Cranfield University. Conducting machine learning research to enhance LEO-PNT precision and efficiency. Along with PhD study, Researching and Developing solutions of Sensor Fusion using Machine Learning for Urban Air Mobility.
Clients
- European Space Agency
Publications
Conference Papers
- Saha C, Tran TH & Syamal S. (2024). Enhancing Automotive Safety Through Advanced Object Behaviour Tracking for Intelligent Traffic and Transport System
- Syamal S, Huang C & Petrunin I. (2024). Enhancing Object Detection and Localization Through Multi-Sensor Fusion for Smart City Infrastructure
- Kar A, Syamal S, Chatterjee S, Basu A, Nath Saha H, .... (2019). SPEED CONTROLLING & TRAFFIC MANAGEMENT SYSTEM (SCTMS)
- Chowdhury SS, Sarkar S, Syamal S, Sengupta S & Nag P. (2019). IoT Based Smart Security and Home Automation System
- Chatterjee S, Nath Saha H, Kar A, Banerjee A, Mukherjee A, .... (2019). Generalised Differential Cryptanalysis Check for Block Ciphers