Prasant MohapatraVice-Chancellor for Research & Distinguished Professor of Computer Science
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Priya RanjanBhubaneswar Institute of Technology, Odisha, IndiaTitle of the Talk: Instabilities of Consensus Date & Time: 23/12/2021, 4:00 PM IST Webex Password: icacie@123 |
Abstract:
Consensus protocol analysis suffers from unrealistic instantaneous information communication assumptions. To address this, we shall consider arbitrarily large delays in consensus protocols and explore its impact on the dynamical behavior of convergence. We formulate a conjecture about the emergence of slowly oscillating periodic (SOP) orbits as delay becomes significant from sine-like waves to square waves. Further, dynamical stability behavior of (i) minimally connected multi-agent configuration, i.e., a chain, (ii) fully connected graph, and finally the intermediate configuration, (iii) multiple agents connected in a circular fashion with exactly one full length closed path will be reported. It will be shown that for chain configuration, period-doubling behavior will be observed irrespective of the number of agents. For a fully connected network configuration guaranteed and stable convergence to consensus point with equal contributions from all agents, i.e., peer-setup will be proved irrespective of delay and number of agents. Surprisingly, it will be demonstrated that multiple agents connected in a full-length closed path will converge to consensus with equal contribution from all nodes irrespective of delay if a number of agents are odd, while they will oscillate in the period-doubling fashion if a number of agents are even. A bifurcation diagram with a link strength parameter that transitions a chain into a fully connected closed path will be presented to illustrate interesting branching processing from period doubling to single equilibrium consensus point. Connection with the theory of circulant matrix [11, 12] will be pointed out for future deeper investigations.
Anandarup MukherjeeIfM, Department of Engineering, University of Cambridge, U.K.Title of the Talk: Vibrations, AI, and Computers: Breaching the privacy of traditional computing systems |
Abstract:
Industrial monitoring systems are often used to infer various machines’ operating status and health in and around factory floors and plants. Typically, vibration, power, and/or vision-based systems are used for these monitoring tasks. This talk explores how a quickly developed and rapidly deployed low-cost monitoring system and rudimentary AI tools can pose threats to traditional computing platforms’ privacy. This talk explores how even individual tasks being executed on a computer can be automatically identified with considerable accuracy, simply by the way the mechanical structure/housing of the computer vibrates. Some preliminary results are discussed along with possible potential threats and some easy ways to overcome such eventualities.
Arijit RoyUniversity of Luxembourg, LuxembourgIndia-France Raman-Charpak Fellow
Former Council of Scientific & Industrial Research Senior Research Fellow
Title of the Talk: Sensors-as-a-Service for IoT Applications |
Abstract:
In the last few years, the sensor cloud gained popularity by provisioning Sensors-as-a-Service (Se-aaS) for serving different IoT applications. Sensor-cloud provides a platform to manage the deployed sensors efficiently to serve different IoT applications simultaneously. Moreover, the evolution of sensor cloud addresses the issue of the single-user-centric approach in using traditional WSN through the concept of sensor virtualization. Typically, in sensor-cloud multiple physical sensor nodes combine to form a virtual sensor. These virtual sensors participate to serve multiple end-user applications. On the other hand, the process of sensor virtualization remains abstracted from the end-users. In a sensor-cloud platform, the sensor nodes are typically procured and maintained by their respective owners. These owners earn monetary benefits by providing the service to the IoT applications with their owned sensor nodes. Similar to a Cloud Service Provider (CSP) in a cloud computing platform, Sensor-cloud Service Provider (SCSP) in sensor-cloud is a centralized entity, who manages the entire platform. In this talk, I provide a comprehensive introduction of Se-aaS, followed by a discussion on the evolution of MSC. Specifically, I first surveyed the basics of IoT and the usage of sensors in it. I then briefly discuss different critical issues — pricing, virtual sensor formation, data caching — associated with designing a traditional sensor-cloud platform for provisioning Se-aaS. Further, I shed light on the evolution of MSC and its advantages over the traditional sensor cloud. Finally, the talk concludes with a discussion of new research challenges, which can be investigated in the future.
Ayan MondalIndian Institute of Technology, Indore, IndiaTitle of the Talk: Softwarization of IoT: Opportunities and Research Challenges |
Abstract:
Internet of Things (IoT) is the inter-networking of everyday objects that surround us. These devices are the active actors of the Internet that generate and exchange data using embedded sensors. With the rapid developments in this emerging field, we envision building efficient networks for smart cities while enabling different applications such as agriculture, healthcare, and energy distribution. However, along with many opportunities, IoT opens the door to several challenges due to the limited computation capacity of IoT devices and limited network bandwidth. This talk will focus on two aspects of IoT – (1) data traffic management using software-defined networks for IoT and (2) enabling software services for IoT in different applications such as sensor-cloud, smart grid, and healthcare.
Chandan B. SamantarayDepartment of Engineering, Virginia State University, USATitle of the Talk: Essentials to Quantum Computing (QC) and Quantum Information Science (QIS) Date & Time: 24/12/2021, 9:00 AM IST Webex Password: icacie@123 |
Abstract:
There has been tremendous attention towards Quantum Computing (QC) which will have the next 100 years of tech dominance in all the sectors of Science, Engineering, Technology, and Business operation and management. Quantum Computers has been attracted millions of views among current technology giants including IBM, Intel, Google, and Microsoft. Quantum Information Science (QIS) and Quantum Information Technology (QIT) will open up many opportunities, not only in academia but also in industries of both software and hardware origin. Quantum computing and quantum information science or technology are going together with applications. “Quantum supremacy” has been a great challenge for next-gen- Quantum computers to have the potential to solve the problems which classical computers cannot perform with an affordable time frame! Quantum computers use qubits unlike their classical counterpart having either 1 or 0. Furthermore, quantum- algorithm or software development and quantum error correction process are vital in the world of QC and QIS. Quantum computation is based on two revolutionary algorithms as Shor’s algorithm and Grover’s algorithm. Grover’s algorithm can speed up the search quadratically for a given number of possible solutions which is the basic of Quantum Artificial Intelligence (QAI). QAI has been used in the field of neural associative memories, diagnostic reasoning, or sub-symbolic problem-solving.
Anand NayyarSchool of Computer Science, Duy Tan University, Da Nang, VietnamTitle of the Talk: Future Smart Transportation Systems- Autonomous Vehicles. Date & Time: 24/12/2021, 1:15 PM IST Webex Password: icacie@123 |
Abstract:
Intelligent Transport Systems (ITS) can be defined as holistic, control, information and communication upgrade to classical transport and traffic systems, which enables significant improvement in performance, traffic flows, the efficiency of passenger and goods transportation; safety and security of transport, ensures more comfortable traveling for passengers, reduces pollution, etc. ITS presents a crucial breakthrough by changing approaches and trends in transport and traffic research and technology aiming to solve escalating problems of congestions, pollution, transport efficiency, safety, and security of passengers and goods. This is also proved by numerous programs and projects related to ITS all over the world, the introduction of new study programs on ITS and foundations of ITS associations at the national and global levels. ITS replaced previously used concept for transport problem solving, which had already been exploited. Increasing transport-related problems in all major cities, centers, or airports, raise the need for new approaches and new solutions. In this lecture, depth analysis of Intelligent Transportation Systems, their Architectures, Technologies, and other converging standards will be done. In addition, the lecture will briefly insight towards future smart transportation vehicles from the Year 2024 onwards.
Chhabi Rani PanigrahiDepartment of Computer Science
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Abstract:
Due to the less resources and battery power of mobile devices or intermittent connectivity between mobile devices and the cloud, the users may face huge difficulties. There are very few works have been proposed that can solve these problems. But, to select the best cloud for mobile devices as well as to minimize the transmission latency upon the mobility of mobile nodes, an efficient transmission policy for Mobile Cloud Computing (MCC) is named as eCloud. In eCloud, mobile nodes can select their best cloud for sending requests upon the mobility of mobile nodes. eCloud can solve the problem of battlefield situations or any emergency condition like an earthquake or terrorist attack.
Barun Kumar SahaScientist, Hitachi ABB Power Grids, IndiaTitle of the Talk: Optimal Allocation of Traffic Flows in Industrial Networks Date & Time: 24/12/2021, 4:00 PM IST Webex Password: icacie@123 |
Abstract:
Industry 4.0 relies on efficient network operations among other things. However, the characteristics of industrial networks are often different from others. Consequently, the network solutions need to take such aspects into account. In this talk, we will briefly look at some typical characteristics of industrial networks. In this context, we will discuss a fundamental problem, allocation of optimal paths for traffic flows in industrial networks. We will look at how some of the aforementioned characteristics affect this problem. Our initial attempt to solve the problem will involve a greedy strategy. Subsequently, we will design a metaheuristics-based solution to reach optimality. We will conclude this talk by reviewing the performance of our solution, as well as some potential application scenarios.
Chuan-Ming LiuProfessor, Dept. of CSIE, Head, Extension Education Center
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Abstract:
With the evolution of computing, modern computing environments tend to be decentralized and autonomous. One of such examples in internetworking is the wireless sensor networks to the internet of things (IoT) with cloud computing. Furthermore, in order to relieve the workload at the cloud server and have real-time feedbacks for the services, edge servers take a part in the cloud system. With such an emerging computing architecture, the ways for data management should be reviewed or re-designed. In this talk, we will introduce the trends of emerging computing environments and the promising edge cloud systems with IoT applications. The data in such environments, like the sensed data, may not be accurate and are referred to as uncertain data. We thus consider the precise and uncertain data in our work. In addition, the data are produced or generated dynamically and continuously. With tons of various data collected as time evolves, our works thus focus on the Big Data processing on the IoT with Edge Cloud systems. Some interesting query types will be presented, including probabilistic nearest neighbors query, probabilistic skyline query, and probabilistic top-k dominating query. Two major scenarios of the problems will be introduced: one is to continuously monitor the query results over the internet of mobile things in a decentralized fashion and the other is to effectively monitor the global query results over multiple data uncertain data streams. Some proposed effective mechanisms to achieve the objectives will also be covered in this talk.
Chandana RoyIndian Institute of Technology, Kharagpur, IndiaTitle of the Talk: Enabling Safety in Smart Transportation |
Abstract:
Internet of Vehicles (IoV) is an imperative domain of the Industrial Internet of Things, which is designed for handling traffic smoothly in the transportation industry. In order to improve the traffic system, IoV implements an intelligent transportation system (ITS). However, due to a lack of prompt and correct information, casualty increases in the road traffic transportation industry. Safety-as-a-Service (Safe-aaS) is one of the first attempts in its domain, where multiple end-users receive safety-related decisions dynamically. An end-user enjoys the pay-per-use service of Safe-aaS, without concerning about the back-end process. Safe-aaS is based on service-oriented architecture, where different business entities such as vehicle owners, sensor owners, safety service providers (SSPs), and end-users are involved. We introduce the term, decision virtualization, which enables multiple end-users to access the customized decisions remotely. Considering road transportation as the application scenario, we address various aspects of Safe-aaS such as complex transactions among the actors, service handoff among the service providers, and utilization of resources.
Sujata PalIndian Institute of Technology, Ropar, IndiaTitle of the Talk: Wireless Body Area Networks |
Abstract:
Wireless Body Area Networks (WBANs) open many challenges by placing biosensors on/inside human bodies for collecting various health-related information. Communication in WBANs suffers from high channel attenuation due to human body fat and the low transmission power used by the biosensors present on the body. The low power signals transmitted by the biosensors towards the coordinator node (placed outside the human body), experience high attenuation during the non-line-of-sight (NLOS) communications. The NLOS communications are possible in WBANs when the patient’s body impedes the signals transmitted by a biosensor towards the coordinator node. The reception of poor signals at the coordinator node could further deteriorate the quality-of-service (QoS) provided by a WBAN. Therefore, relay-based communications with data forwarding techniques are used to handle link failures and poor network connectivities. This talk gives a brief introduction of WBAN, its challenges along with some communication protocols proposed for WBANs.
Joy Lal SarkarTripura University (A Central University), IndiaTitle of the Talk: A point-of-interest within Point-of-interest based Multi-itinerary Recommendation System for Tourists Date & Time: 23/12/2021, 2:00 PM IST Webex Password: icacie@123 |
Abstract:
The significance of tourism in the globe today is enormous since it is a major source of income and jobs for a nation. Tourists are facing a range of difficulties as they select suitable tours, consisting of several itineraries in terms of their interests and distinct constraints. An itinerary consists of many Points of Interest (POIs) and a POI can further be split into several attractions which are named as POI within POI. For selecting the itinerary, the existing techniques use the characteristics of POIs. However, a POI consists of many attractions. Out of these, one dominating attraction type is considered as POI type. This ignores the other type of attraction present in that POI. It may cause improper selection of itineraries. Therefore, the selection of itineraries by considering POI within POI is of great benefit. But, it is very challenging. For this task, we suggest an algorithm called PWP. It recommends multiple itineraries that are based on the interest of visitors, the popularity of itineraries, and the cost of itineraries.
Subhashish Das MohapatraSenior Software Developer, Agilink Technologies Inc.Title of the Talk: IoT Security Issues and Challenges Date & Time: 24/12/2021, 12:00 PM IST Webex Password: icacie@123 |
Abstract:
With the rapid fast technological innovations, the demand for IoT app development is taking a peak across the globe. The demand for IoT app and devices and the usage of cutting-edge IoT apps and solutions are increasing rapidly. Today, IoT devices are being deployed in the office, on the manufacturing floor, in smart grids and are driving growth across industries and sectors. The security issues associated with data access & management as well as with that of the IoT devices themselves are seen as one of the major factors hampering the rapid and large-scale adoption and deployment of IoT devices. IoT devices introduce numerous security issues that present a significant threat to the security of enterprise data and networks.