Gururaj H L

Short CV: Dr. Gururaj H. L. is currently working as an associate professor in the Department of Information Technology, Manipal Institute of Technology, Bengaluru. He holds a Ph.D. Degree in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi 2019. He has 14 years of teaching and research experience at both the UG and PG levels. He is a senior member of the ACM & IEEE and a lifetime member of the Cryptology Society of India. Dr. Gururaj was appointed as ACM Distinguish Speaker (2018–2021) by the ACM US Council, and he is one of 15 speakers across India. He received a Young Scientist International Travel Grant from SERB, Department of Science & Technology, Government of India, in December 2016. He also received BEST PROJECT GUIDE awards consecutively for four years at Malnad College of Engineering, India, during 2014, 2015, 2016, and 2017. He also received the Award for Outstanding Research Publications (AORP) from VGST, Government of Karnataka, in 2023.

He worked as a special issue editor for MDPI, Springer, and Elsevier journals. He has published 18 edited books at Springer, Taylor & Francis, IGI global and IET publishers. He is an editorial Board member of various International Journals. He has published more than 160 research papers in peer reviewed international journals and book chapters. He has presented more than 65 papers at various international conferences and received BEST PAPER awards. He has granted one Australian patent, one Indian design patent, and five Indian copyrights. He has delivered more than 500 technical talks across globe, to name a few ACM Distinguished Talk at IIT Kanpur in 2019, Plenary Talk at NIT Surat in 2020, Keynote Speaker at UPDATE Europe Conference in 2020, and he will be delivering Keynote address at 8th International Conference ICMLT in USA in May 2024. He is also serving as an advisory committee member of the Cyber Security Council of India and a subject expert at the Administrative Training Institute (ATI), Mysuru, Government of Karnataka. He has been honored as session chair, keynote speaker, TPC member, Advisory committee member at national and international seminars, workshops, and conferences across the globe. He received grants from SERB-DST, CSIR and AICTE (the Government of India) to organize international conferences and Seminars. Currently he is guiding 5 PhD scholars. His research interests include Block Chain Technology, Cyber Security, wireless Senor Network, Ad-hoc networks, IOT, Data Mining, Cloud computing, and machine learning.

Title of Talk 1: Role of AI in Cyber Security

Synopsis: In this digitized world, everything is changing from offline to online. Data plays a very vital role in this digital network. The theft or loss of USB devices, computers or mobile devices by an unauthorized person who gains the access to your mobile or laptop devices, email account or network is generally termed as data breach. Securing data from thefts and branches is a challenging issue. Adding extra intelligence using Machine Learning (ML) approaches will be efficient in identifying such attackers. In this lecture various ML techniques to identify data breaches such as malware attack, Man in the Middle (MIM), Spear phishing attack, eavesdropping attack, password attack, cross-site scripting attack will be depicted with suitable case studies. Artificial Intelligence (AI) capability to analyse massive quantities of data with lightning speed means security threats can be detected in real time, or even predicted based on risk modelling.

Title of Talk 2: Decentralized Application For Crowdfunding Using Blockchain Technology

Synopsis: Crowdfunding as the name relates it the raising of funds from a vast number of sources. This can be an individual or an organization that merely wants to contribute to a noble cause. In layman's terms, it can be referred to as funding given by an anonymous crowd with a belief that they are helping a section of the society to fight and overcome their monetary problems. This is being achieved via the Internet where people or groups raise funds to help others during a natural catastrophe or some community-oriented social projects, entrepreneurial ventures, travel, medical expenses, and many more. The present-day scenario is such that once people transfer money into a particular venture no one knows what happens to the money generated. As a solution, one needs to track down the flow of money and thereby maintaining appropriate transparency.

Title of Talk 3: Machine Learning and its Applications in Food Engineering

Synopsis: Learning techniques have been applied increasingly for food quality evaluation using computer vision in recent years. This lecture reviews recent advances in learning techniques for food quality evaluation using computer vision, which include artificial neural network, statistical learning, fuzzy logic, genetic algorithm, and decision tree. Artificial neural network (ANN) and statistical learning (SL) remain the primary learning methods in the field of computer vision for food quality evaluation. Among the applications of learning algorithms in computer vision for food quality evaluation, most of them are for classification and prediction, however, there are also some for image segmentation and feature selection. And also in this lecture, the promise of learning techniques for food quality evaluation using computer vision is demonstrated, and some issues which need to be resolved or investigated further to expedite the application of learning algorithms are also discussed