IIIT-Allahabad | Events

Events | Institute Happenings

2 Days International Workshop on CYBER PHYSICAL SYSTEMS SECURITY

Published on 11th Aug, 2023

2023

21

Aug

2 Days International Workshop on CYBER PHYSICAL SY

The FOG-CPS security lab of IIIT-Allahabad and Cardiff University, UK are jointly organizing a "2 Days International Workshop on CYBER PHYSICAL SYSTEMS SECURITY" during August 21-22, 2023. The event will be sponsored by the Centre for Cyber Security and Cyber Defence of Critical Infrastructures (C3i HUB), Indian Institute of Technology, Kanpur. Cyber Physical Systems (CPS) combines the physical and digital realms, allowing for real-time control of operations. However, this integration raises security concerns. As CPSs are used in important industries like manufacturing and healthcare, their susceptibility to attackers grows. Malicious activities have the potential to disrupt operations and harm lives. Securing CPSs necessitates measures such as robust authentication, encryption, and constant monitoring to discover abnormalities as soon as possible. Finding the correct combination of connection and security is critical for reaping the benefits of CPS while reducing dangers. In this workshop, scientists from the top academic institutions over the globe will provide an overview on the current trends in CPS security research challenges. Researchers from Industry, Government Organisations, Faculty, and PhD, PG/UG students are encouraged to attend the event and interact with the speakers. The workshop will be conducted in hybrid mode where participants from outside IIITA can join in online mode only. An E-Certificate of participation will be awarded to each participant. More details about the workshop can be found in the attached flyer or on the conference website.


CRAFTING RESEARCH VIA SYSTEMATIC LITERATURE REVIEW AND BIBLIOMETRIC ANALYSIS

Published on 21st Apr, 2023

2023

21

July

In recent years an exponential growth in published literature on social science domain has been observed in the databases like web of science and Scopus. As the volume of publications increases, it becomes difficult for researchers and practitioners to accumulate sense making information from the scattered literature. To overcome this challenge, advance quantitative methodologies, and software tools are being employed to conduct literature review more efficiently and effectively. Systematic literature review (SLR) and bibliometric analysis (BA) are prominent methodologies for extraction and synthesis of available literature and to develop its knowledge structure.


Summer School on Computational Advances in Deep Learning and Applications (CADLA)

Published on 20th May, 2023

2023

17

July

2023 IEEE CIS Summer School on Computational Advances in Deep Learning and Applications (CADLA) is a one week short-term course organized by Computer Vision and Biometrics Lab (CVBL) at Indian Institute of Information Technology, Allahabad during 17-21 July 2023. Breakthroughs in the field of data science and computing power over the past two decades has made computational intelligence and deep learning the most powerful tools in the field of artificial intelligence. Deep learning algorithms have shown promising success in numerous applications of Computer Vision, Natural Language Processing, Robotics and Automation. Present day state-of-the-art algorithms have amazed everyone with their human level performance in classification, generating life-like images and videos, automated conversations and even beating world-champions at their own games.


7-Days Workshop on Satellite Image Analysis for Contemporary Applications

Published on 15th May, 2023

2023

10

July

Satellite Image Processing is a prominent field of research and development which has become a keen interest of researchers in past few decades. There are various applications where satellite imaging is the only tool to produce the effective results, e.g., mapping of land cover, deforestation maps, growth of urban area, flood mapping etc. since a large geographical area can be monitored with the help of satellite imaging. India has a vast history of satellite missions which were successfully operated in past and continued with more number of satellites every year.
Registration link: https://apply.iiita.ac.in/event/register/


SUMMER TRAINING ON ARTIFICIAL INTELLIGENCE TOOLS AND APPLICATIONS - 2023

Published on 17th Apr, 2023

2023

26

June

AITA

The One Month Summer Training (26 June - 22 July 2023) on Artificial Intelligence Tools And Applications will provide a comprehensive understanding of the four key areas of AI – Deep Learning, Machine Learning, Reinforcement Learning, and Robotics. Participants will learn how to design, develop, and deploy AI-based solutions for real-world problems. The course will be conducted by experienced AI professionals who will provide insights into the latest developments in the field. The training will include lectures, interactive sessions, and practical to ensure a comprehensive understanding of the subject


One-week Training Program on “Advanced Training Program on Experimental & Simulation Techniques for Materials Science”

Published on 01st June, 2023

2023

21

June

One-week Training Program on “Advanced Training

The Scheme “Synergistic Training Program Utilizing the Scientific and Technological Infrastructure” (STUTI) is intended to build human resources and its knowledge capacity through open access S & T Infrastructure across the country. As a complement to the various schemes of DST funding for expansion of R & D Infrastructure at academic institution. STUTI schemes envisions a hands-on training program and sensitization of the state-of-the-art equipment as well as towards sharing while ensuring transparent access of S & T facilities.


6 Th Summer School on behavioural Finance (SSBF-23)

Published on 21st Apr, 2023

2023

12

June

Behavioural finance is an emerging area of study which considers the theories based on psychology to elucidate the anomalies in the financial market. Of late there is a lot of researches happening in the field of behavioural finance. The development of technology has made accessible information to the general public. Any information is available to investors at a relatively faster rate than ever before.


THE 17TH LEARNING AND INTELLIGENT OPTIMIZATION CONFERENCE (LION17 SCOPE) SPECIAL SESSION   on   DATA-DRIVEN OPTIMIZATION WITH BUSINESS PROCESS MINING

Published on 27th Apr, 2023

2023

04

June

Process mining, positioned at the interface between ‘Process science’ and ‘Data science’, combines event data with process models and intends to gain insights, identify bottlenecks, predict problems, and optimize organizational processes. Process mining, already being used for high-volume processes in large organizations, will soon become the ‘new normal’ for smaller organizations and processes with fewer cases as well. Despite a huge surge in research endeavors in Process Discovery, Conformance Checking, and Model Enhancement, positioning them as three verticals of Process Mining, there are a number of research challenges that need to be overcome to realize the vision of data driven optimization of business processes. The optimization paradigm in the process mining context is being explored at the following levels: 1. When it comes to creating process models, event logs generated by process-oriented information systems are treated as a critical resource. Conformance checking can be formulated as an optimization problem with the model and log repair. Thus, conformance checking corresponds to solving optimization problems that grow exponentially in the size of the model and the length of traces in the event log 2. Optimization metaheuristics have also been widely applied in the context of automated process discovery, with the goal of gradual discovery and advancement of process models to achieve a tradeoff between accuracy and simplicity. The most notorious of these approaches are those based on evolutionary (genetic) algorithms. However, several other metaheuristics have been researched, such as Imperialist competition algorithms, swarm particle optimization, and simulated glow in this context 3. Data ingestion from diverse source systems is supported by AI, which allows to identify and customize structured and unstructured data from various sources. Thus, various optimization techniques can be used to improve the performance of the data transformation discovery techniques in the context of the synthesis of routine specifications. With rapidly growing applications, this special session invites original, unpublished research contributions that demonstrate current findings in the area of application of data science and optimization techniques for process mining, with special reference to algorithms for process discovery, conformance checking, and process model enhancement. Organizer : Om Prakash Vyas (Indian Institute of Information Technology, Allahabad , India) and  Jerome Geyer-Klingeberg (Celonis, Munich, Germany)