IEEE SPS SBC Webinar: Data-driven Approaches for Improved Reconstruction and Segmentation in Medical Imaging.(By Dr. Raji Susan Mathew)

Virtual: https://events.vtools.ieee.org/m/377686

This talk deals with two aspects of medical Imaging: image reconstruction and segmentation. The first part covers the image reconstruction for magnetic resonance imaging (MRI). Despite the capability of providing high-resolution images, the difficulties associated with lengthy acquisition time necessitate reconstruction of the final image from a limited number of k-space samples. The reconstruction problem falls under the broad class of ill-posed inverse problems, and regularization is necessary for obtaining stable and meaningful solutions. However, the accuracy of regularized output depends on the regularization parameter choice. The adaptive estimation of the regularization parameter from the data for sparsity-promoting methods will be discussed. The second part focuses on nerve segmentation in ultrasound images. The automated segmentation of the median nerve at the wrist and from wrist to elbow using different deep learning models along with the associated challenges will be discussed. Finally, the talk will conclude with a discussion on the implementation of the model in real-time. Speaker(s): Dr. Raji Susan Mathew, Virtual: https://events.vtools.ieee.org/m/377686

Can perfectly electric conducting obstacles modify the permeability of metamaterial?

Room: NKN Room, Bldg: E&ECE Department, Kharagpur, West Bengal, India, IIT Kharagpur, Kharagpur, West Bengal, India, 721302

An array of perfectly electric conducting (PEC) obstacles in a host dielectric medium modifies the constitutive parameters of the composite medium or metamaterial. Typically, for such a composite medium, the effective (homogenized) parameters are estimated using the Lorentz model. The Lorentz model indicates that inclusion of PEC obstacles in a host medium introduces both electric and magnetic polarizabilities that modify the permittivity and permeability tensors of the composite medium. On the other hand, the Floquet eigenmodal analysis shows that the PEC obstacles, while modifying the permittivity tensor, have no effect on the permeability tensor. Hence, as a corollary, Floquet model leads us to conclude that a negative permeability metamaterial using PEC obstacles is not possible to obtain. Interestingly, numerical results obtained from full wave analyses of metamaterial-slabs support the Floquet model. We will present the Lorentz and Floquet models and examine the source of inaccuracy in the Lorentz model. We will discuss the characteristic features of metamaterials made with non-resonant and resonant types of obstacles. Numerical results obtained from four independent models will be compared and discussed. In light of Maxwell’s equations, we will scrutinize the rationality of the claims of “negative-refraction” metamaterials. Co-sponsored by: IEEE AP-MTTS SBC IIT Kharagpur Speaker(s): Arun K. Bhattacharyya, Room: NKN Room, Bldg: E&ECE Department, Kharagpur, West Bengal, India, IIT Kharagpur, Kharagpur, West Bengal, India, 721302

IEEE SPS SBC Webinar: Navigating the Post-Ph.D. Landscape: Unlocking Opportunities for Success (By Dr. Ayan Mondal)

Virtual: https://events.vtools.ieee.org/m/377691

Embarking on a journey towards a Ph.D. is a monumental achievement, but it's only the beginning of a remarkable career. This talk is designed to guide Ph.D. graduates through the myriad of opportunities that await them after earning their doctoral degree. In this engaging and informative presentation, we will explore the diverse avenues available to Ph.D. holders, from academia and industry to entrepreneurship and beyond. We will delve into strategies for effectively transitioning from academia to other sectors, leveraging unique skills and expertise, and crafting a fulfilling and impactful career path. Whether you're considering different career options, seeking guidance on post-Ph.D. job searches, or aiming to make the most of your doctoral experience, this talk will provide valuable insights, actionable advice, and inspiration to help you chart your course towards a successful and fulfilling post-Ph.D. future. Speaker(s): Dr. Ayan Mondal, Virtual: https://events.vtools.ieee.org/m/377691

High Performance RF, Millimeter-Wave, and Sub-THz Integrated Circuits and Systems

Room: NKN Room, Bldg: E&ECE Department, Kharagpur, West Bengal, India, IIT Kharagpur, Kharagpur, West Bengal, India, 721302

Modern integrated circuit technology has enabled a lot of applications in the RF, mm-wave, and sub- THz frequency range at a low cost and in a small form factor in emerging areas such as wireless communication and radar-based sensing. In this presentation, key challenges in RF, mm-wave, and sub-THz circuit design for next-generation high data rate wireless communication systems and high- resolution radars will be discussed. To address the demand for high performance in these systems, it is becoming increasingly important to take a multidisciplinary approach such as digitally assisted RF circuits and heterogeneous co-integration of III-V and CMOS technologies. The power amplifier (PA) is one of the most critical blocks in the transceiver and innovative PA architectures, which utilize such multidisciplinary techniques to improve output power, efficiency, gain, and linearity, will be discussed in this presentation. Novel topologies of digitally enhanced outphasing and pulse width modulated (PWM) PAs in 45nm CMOS at 2.4GHz will be presented. An innovative 74GHz stacked segmented adaptive PA architecture in 22nm FD-SOI technology will be shown next. Then an InP based 130GHz PA will be presented that can take advantage of III-V and CMOS co-integration for 6G wireless communication. Finally, future directions and research opportunities will be discussed. Co-sponsored by: IEEE AP-MTTS SBC IIT Kharagpur Speaker(s): Aritra Banerjee, Room: NKN Room, Bldg: E&ECE Department, Kharagpur, West Bengal, India, IIT Kharagpur, Kharagpur, West Bengal, India, 721302

DIGITAL HEALTH SYMPOSIUM AND ROUNDTABLE 2023

IIT Kharagpur, Kharagpur, West Bengal, India, 721302

Digital health is a broad, multidisciplinary concept that includes concepts from an intersection between technology and healthcare. Digital health applies digital transformation to healthcare, incorporating software, hardware, and services. The event we are organizing holds a significant purpose that drives our motivation and commitment. We believe it’s important to communicate the why behind our event to provide context and inspire individuals to participate. Our digital health community is a dynamic and inclusive platform where individuals from various backgrounds come together to explore, collaborate, and drive innovation at the intersection of technology and healthcare. One of the most remarkable aspects of our digital health community is the opportunity to meet and connect with truly remarkable individuals. When you join our platform, you become part of a vibrant network of professionals, visionaries, and enthusiasts who are passionate about leveraging technology to revolutionize healthcare. For more details visit our website: http://digital-health.one/roundtable/2023/ IIT Kharagpur, Kharagpur, West Bengal, India, 721302

IEEE Membership Bootcamp

Bldg: Nalanda Complex, IEEE Kharagpur Section Office, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India, 721302

We are organizing a Bootcamp to spread awareness of IEEE and its efforts in engineering, technological, bio-technologial and humaniratian outreach programs. We aim to attract fresh graduate students and working individuals to be a member of IEEE, especially AP & MTT Society. Agenda: Attract potential IEEE student member and Strengthen IEEE Kharagpur Section's students volunteer numbers Bldg: Nalanda Complex, IEEE Kharagpur Section Office, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India, 721302

Recent Advancements in Frequency Selective Surfaces.

Room: NKN, Bldg: Main Building, Department of Electronics & Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India, 721302

Since the last few decades, frequency selective surfaces (FSSs) have attracted significant research interest owing to their simple design, ease of fabrication, and wide adaptability. They have found a wide range of electromagnetic applications, such as absorbers, filters, polarizers, high-impedance surfaces, absorbers, antennas, and so forth, across various frequency ranges. This talk will center around several design aspects of microwave devices exploiting the FSS concepts. Speaker(s): Dr. Saptarshi Ghosh, Room: NKN, Bldg: Main Building, Department of Electronics & Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India, 721302

Designing salient, naturalistic “super-stimuli” with deep generative models

Virtual: https://events.vtools.ieee.org/m/403671

Attention can be deployed either voluntarily – based on task goals – or captured automatically – by salient sensory stimuli. Previous studies have controlled stimulus salience by altering low-level image features (e.g., luminance, or popout), or by inducing motion dynamics (e.g., flash, loom); such salient stimuli capture attention automatically by driving strong neural responses in multiple visual areas. Yet, precisely what combinations of naturalistic (high-level) stimulus features drive the strongest neural responses, and produce the highest behavioral salience, remains a topic of active research. As a first step toward this goal, I will describe the design of salient “super-stimuli” – high-resolution, naturalistic images tailor-made to evoke the strongest responses in specific brain areas. The high dimensionality of natural images renders this optimization prohibitively challenging at the pixel level. To tackle this challenge, we extend a recently developed framework called XDream . This framework employs a deep generative network in combination with a heuristic optimization (genetic) algorithm and was recently tested to generate “super-stimuli” for the monkey visual cortex. We extend this framework with a CNN-based encoder for human functional MRI (fMRI) brain responses and design novel classes of “super-stimuli” optimized for the human brain. Specifically, we advance the optimization algorithm to address the following questions: i) Given an object category (e.g., telephones or computers) can we design a class of super-stimuli that still respects category boundaries? ii) Can we design “chimeric” super-stimuli that can combinatorially activate (or suppress) multiple brain regions (e.g., primary visual cortex and face area), at once? I will conclude by describing ongoing work that seeks to validate the generated images by measuring human visual cortex responses directly with fMRI and quantifying the behavioral salience of the generated images with psychophysical experiments. Speaker(s): Prof. Sridhar Devarajan, Virtual: https://events.vtools.ieee.org/m/403671

RAS Challenges and Silicon Lifecycle Management

Virtual: https://events.vtools.ieee.org/m/402589

This talk discusses resiliency challenges for emerging SOCs, and optimizing the SOC health using prognostics, test and analytic solutions, utilized for managing silicon lifecycle (SLM) for improving quality and yield; and also address aging and degradation challenges for improved RAS and functional safety. Speaker(s): Jyotika Athavale Virtual: https://events.vtools.ieee.org/m/402589