Dr. Shyam Lal

Sessions 1 & 3:

• Session 1 (9:30 AM – 11:00 AM): Artificial Intelligence Algorithms for High Resolution UAV Remote Sensing Data Analysis

• Session 3 (2:00 PM – 4:00 PM): Hands-on: Deep Neural Networks for UAV Data Analysis

  These sessions, led by Dr. Shyam Lal, will delve into the application of artificial intelligence and deep learning in processing high-resolution UAV remote sensing data. The morning session will cover core concepts and algorithms in AI used for analyzing UAV imagery—such as object detection, classification, and segmentation—with real-world use cases in agriculture, urban planning, and environmental monitoring.

  In the afternoon, participants will engage in a hands-on session, gaining practical experience with deep neural networks applied to UAV datasets. The session is designed to bridge the gap between theoretical knowledge and real-time data analysis, offering insights into tools, workflows, and model training techniques for geospatial AI applications.

Biography:

Shyam Lal received a Ph.D. degree in Digital Image Processing from the Department of Electronics & Communication Engineering, Birla Institute of Technology, Mesra, Ranchi (Jharkhand), India, in the year 2013; an M.Tech. degree (ECE) in the year 2007 from NIT Kurukshetra, Haryana, India; and a B.Tech. degree in EIE in the year 2001 from Bundelkhand Institute of Engineering and Technology (State Govt. Engineering College), Jhansi (U.P.), India.  He joined the National Institute of Technology Karnataka (NITK), Surathkal, Mangalore (Karnataka), India, on 18th December 2013 as an assistant professor, and currently, he is working as an associate professor in the Department of Electronics & Communication Engineering, NITK, Surathkal, Mangalore (Karnataka), India. He was a visiting professor at the University of Pavia, Italy, from 19th November 2018 to 30th November 2018 (two weeks). 

He was a visiting fellow at Tokyo Institute of Technology, Tokyo, Japan, from 4th July, 2016, to 15th July, 2016 (two weeks). He is CEO and Director of M/S AIQuantum Smart Solution Private Limited, STEP-NITK, Surathkal, Mangaluru, Karnataka, India. He has more than 21 years of teaching and research experience. He has supervised 08 Ph.D. students, and currently 06 Ph.D. students are working under his supervision in the areas of satellite image processing, medical image processing, cybersecurity, and 6G wireless networks. He has completed 05 R&D projects funded by SERB-DST, MeitY, ISRO, Google USA and currently executing 04 R&D projects funded by ISRO and the Department of  
Telecommunication (DoT), Govt. of India, and VGST, Government of Karnataka.

He has received a total worth of funding amounting to approximately 3.0 crore from different funding agencies. He has published around 115 research papers in the area of artificial intelligence, machine learning, and deep learning with applications in medical image processing and satellite image processing at international/national journals & conferences. He has received the Early Career Research Award (Young Scientist) in 2017 from the Science Engineering and Research Board (SERB), Department of Science and Technology (DST), Govt. of India; the Young Faculty Research Fellow (YFRF) in 2019 from Digital India Innovation, MeitY, Govt. of India; the Award for Outstanding Research Publication in the year 2024 from VGST, Government of Karnataka; and the Research Excellence Award 2024 from the IEEE Computer Society Bangalore Chapter, India.  He has  also filed 02 Indian patents (01 granted and 01 published). He has delivered more than 150+ invited technical talk, expert lectures, Conference tutorials and  Keynote Lectures in Artificial Intelligence, Machine Learning and Deep Leaning with various applications in 
the field of engineering and technology. He has been guest editor of IJSISE, Inderscience Publishers, and editorial member of Open Access Journal of Biomedical Engineering and its Applications, Lupine Publishers, USA.  

He is Guest Editor of Applied Soft Computing Journal, Elsevier Publisher. He was holding the vice-chair position at the IEEE Geoscience and Remote Sensing Society (GRSS) Bangalore Chapter from January 2021 to December 2023, and currently he is the chair of the IEEE GRSS Bangalore Chapter from January 2024.  He is a senior member of IEEE, a life member of ISTE, New Delhi, India, a life member of IAENG, Hong Kong, and a life member of IACSIT, Singapore. His area of interest includes quantum computing algorithms with applications, artificial intelligence, machine learning, deep learning and optimization algorithms with applications in radiology image processing, histopathology image processing, satellite image processing, IoT and cybersecurity, 6G wireless networks, and the manufacturing industry. 

Email:

Dr. Rahisha Thottolil

Session 2 (11:15 AM – 12:45 PM):

In this session, Dr. Rahisha Thottolil will explore how remote sensing techniques are leveraged to study and analyze urban growth patterns and land-use changes, with a specific focus on Bangalore’s urban landscape. The session will highlight the use of satellite and UAV imagery for monitoring urban sprawl, infrastructure development, and environmental impact.

Participants will gain insights into geospatial tools, change detection techniques, and data interpretation methods used in urban remote sensing. The session aims to showcase how these technologies support informed urban planning, sustainability initiatives, and smart city development.

Biography:

Dr. Rahisha Thottolil holds a Ph.D. in Spatial Data Science from the International Institute of Information Technology Bangalore (IIITB), an M.Tech. in Geoinformatics from Visvesvaraya Technological University (VTU)and a B.Tech. in Civil Engineering from the Government College of 
Engineering, Kannur, Kerala. She is currently a postdoctoral fellow at IIIT Bangalore, focusing on AI applications in urban climate. Her Ph.D. research focused  on geospatial data analysis to understand urban land use expansion, predictive modeling, and the assessment of road transportation networks in the Bangalore region, contributing significantly to urban science. She has held research positions at 
NIT Calicut, CSIR C-MMACS, Karnataka State Remote Sensing Applications Centre, and ISEC Bangalore, demonstrating extensive expertise in the geospatial domain.

Dr. Rahisha has been recognized with the UGIT Young Technologist Award (2015) and the University Honor for Academic Excellence (2014-2016 batch). She currently serves as an active IEEE GRSS member as the Regional Chapter Coordinator of IEEE GRSS Region 10 (India) (2023-2024) and a Global Activities Chapter Chair Committee Member (2025-present). She is deeply passionate about teaching and mentoring students, fostering the next generation of geospatial scientists. Committed to tackling complex real-world spatial challenges, Dr. Rahisha strives to advance geospatial data science through innovative research and interdisciplinary collaborations.