Electric Systems Modelling and Simulation Special Session 1

MIMO-OFDM and Channel Coding Techniques for 5G Networks

Dr. Arun Agarwal
Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India

Our speaker has more than 17 years of professional, research, and teaching experience in wireless digital communication system. He is working as an Assistant Professor in ECE department at ITER (Faculty of Engineering and Technology), Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India. He completed B.E (2003) in Electronics & Telecommunication Engineering from Padmanava College of Engg., Rourkela and M. TECH (2010) in Telematics and Signal Processing from NIT, Rourkela, Odisha & PhD from AMET University, Tamil Nadu, Chennai, India. His field of interest includes mobile wireless communication, MIMO-OFDM, LTE-A, 5G networks and signal processing. He has over 60 research articles published in journals, national and international conferences. He is member of IEEE & life member of ISTE, IETE, IACSIT, IEI professional society. He is also member of Editorial Board & Reviewer of many International Journals. He has also served as a TPC of many Springer and IEEE International Conferences.


The Tutorial on MIMO-OFDM with channel Coding Techniques for 5G aims to bring together researchers, practitioners, as well as technology decision-makers to form a vision on the use of multi-antenna and related coding techniques in 5G wireless communications over the upcoming decade and beyond. The focus of the Tutorial will be on latest developments in MIMO-OFDM challenges and opportunities—from fundamental research, experimental results, system architecture, to industry applications.


 Fundamental theory of Channel coding techniques along with design, analysis and implementation of 5G wireless systems based on the cutting edge MIMO-OFDM technologies exclusively on MATLAB. Participants will be exposed to detailed lectures and dedicated tutorial problem solving sessions as well.

Skills set required/ Any pre-requisites:

Basic knowledge of Wireless Digital Communication Systems and MATLAB Coding.

Wearable and Flexible Antennas for Wireless and Mobile Communication Systems Special Session 2

Wearable and Flexible Antennas for Wireless and Mobile Communication Systems

Dr. Jayant G. Joshi
Department of Electronics and Telecommunication Engineering
Government Polytechnic, Nashik, M.S., India

Our speaker received Ph. D. degree in Electronics and Communication Engineering from Punjab Technical University, Jalandhar, India. He is presently serving at Department of Electronics and Telecommunication Engineering, Government Polytechnic, Nashik, (M.S.), India. His total teaching experience is 27 years. He is a Senior Member of IEEE (SMIEEE), Member of Institution of Electronics and Telecommunication Engineers (IETE), Member of IET (UK), Member of Institution of Engineers (India), Life Member of Instrument Society of India, Life member of ISTE and has been listed in the Who’s Who in the world.
Dr. Joshi has published Three books titled: (1) Mechatronics (2006, Published by Prentice Hall of India; New Delhi, India) (2) Electronic Measurement and Instrumentation Systems (2001, Khanna Book Publishing Co; New Delhi, India). Both are AICTE recommended Text Books as per Model Curriculum 2018. (3) Metamaterial Loaded Antennas for Wireless Communication (2014, LAP LAMBERT Academic Publishing, Germany).
Dr. Joshi is a recipient of IEEE Rajneesh Arora Best Research Paper Award in IEEE IAW 2014 Chandigarh, India. First Prize for Research Paper at Institution of Engineers (India), Pune Local Centre, Annual Technical Paper Meet. Recently, received K. Shankar Meritorious Research Paper award-2020 of IEEE Bombay Section. He is pioneer in cloth based that is wearable microstrip patch antennas at International level. Also, designed, fabricated and published various cloth based wearable microstrip patch antennas for different applications at international level.


Fifth Generation network Technology (5G) is a promising technology to satisfy the higher data rate requirement for Interconnecting the Things, sensor networking, establishing effective communication between external wireless wearable devices etc. Basically, these devices consist of a battery, sensors and antennas. The antenna is wearable antenna which is an integral part of wearable clothing and end equipment(s). It is a challenging task to design, fabricate and deploy the wearable antennas to provide excellent connectivity between these devices through multiple inputs and multiple outputs.

In this workshop both the cutting-edge wearable technology antennas with different wearable substrates, associated fabrication methods, connectors and testing procedure will be discussed. This will certainly enhance the lateral thinking and perception-based creativity of the attendees to develop their own wearable antennas for various applications as per IEEE protocols and standards. The knowledge gained and information acquired through this workshop will definitely useful for attendees towards product design along-with system integration and networking. In addition to antennas, the design and fabrication of few sensors will also be presented.

The attendees will be enriched by sharing the research and development experience of speakers through following salient features:

➢ Presentation of actual wearable antenna hardware implementation.
➢ Participants will be acquainted with of various substrates, connectors used for wearable and flexible antennas.
➢ Equivalent circuit analysis of microstrip patch antennas (Transmission Line Theory).
➢ Validation of Simulated, Theoretical and Experimental results.

All presentations, discussions, circuit analysis will go hand-in-hand manner.

The Increasing Role of AI and Explainable AI (XAI) in Healthcare Special Session 3

The Increasing Role of AI and Explainable AI (XAI) in Healthcare

Dr. Mayuri Mehta
Professor, Department of Computer Engineering,
Sarvajanik College of Engineering and Technology, Surat, Gujarat, India

Our Speaker is a passionate learner, teacher and researcher. She received a doctorate in Computer Engineering from NIT, Surat. Her areas of teaching and research include Data Science, Healthcare Informatics, Machine Learning/Deep Learning, Computer Algorithms and Python Programming. Her 21 years of professional experience includes several academic and research achievements along with administrative and organizational capabilities. She has 3 granted International innovation patents, 1 published patent and 2 filed patents in Healthcare. Recently she got approval for fund from Student Startup and Innovation (SSIP) Cell, Gujarat for filing 2 more patents. She has co-edited two books: (1) Tracking and Preventing Diseases with Artificial Intelligence and (2) Knowledge Modelling and Big Data Analytics in Healthcare with Springer and CRC Press respectively. Her book on “Explainable AI: Foundations, Methodologies and Applications” with Springer is under process. She is the author of 32 research papers and 2 book chapters.

Her AI-powered Healthcare project was approved for fund by the Multidisciplinary Research Unit of Surat Municipal Institute of Medical Education and Research (SMIMER). She has also received funds several times from Gujarat Council on Science and Technology (GUJCOST). She has also served in several International Conferences in different positions. With the noble intention of applying her technical knowledge for societal impact, she is working on several AI-powered research projects in Healthcare in association with doctors doing private practice and doctors of Medical Colleges & their Local Research Units (LRU).



Artificial Intelligence has great immediate and future potential for transforming almost all aspects of healthcare. However, lack of explainability in AI applications has become increasingly problematic. Explainable AI provides a rationale that allows users to understand why a system has made a particular decision. The output can then be interpreted within a given context. Explainable AI based systems support healthcare professionals in their clinic decision-making. Absence of explainability may lead to issues of under or overreliance. Providing explanations for how decisions are made will allow healthcare professionals to make more nuanced, and in some cases, life-saving decisions. The need for XAI in healthcare industry is amplified by the need for ethical and fair decision-making.

TENSYMP attendee may be data scientist, industry professional, researcher, student or faculty. After attending this tutorial, the TENSYMP attendees will,

➢ Understand how AI is useful to make faster, cheaper, and more accurate disease diagnosis.
➢ Get insights on how AI techniques can be utilized to automate diagnosis of unexplored or rarely focused diseases.
➢ Be familiar with some AI-powered healthcare solutions.
➢ Receive conceptual understanding of the role of Explainable AI (XAI) in healthcare.
➢ Be familiar with future of AI and XAI in healthcare industry along with its risks and challenges.

Integrated Multidisciplinary-Holistic Engineering Education: An Alternative Pragmatic Perspective Special Session 4

Integrated Multidisciplinary-Holistic Engineering Education: An Alternative Pragmatic Perspective

Dr. Deepak Waikar
Managing Partner, EduEnergy, Singapore
Chair, IEEE Education Society Singapore Chapter

Our speaker started his professional career as an Assistant Director at the National Power Engineers’ Training Institute in India after his post-graduation from the Institute of Technology, Banaras Hindu University, India. Since then, he has been involved in education, training, research, and management fields for almost three decades in India, Canada, and Singapore. He has been Associate and Adjunct Faculty for the local and overseas Institutes, Academies, Polytechnics, Colleges, and Universities. He has authored/co-authored book chapters, research articles, and policy papers on power, energy, management, education, and training related topics. He has served on various committees in professional bodies. He is a recipient of IEEE Power Engineering Society Outstanding Power Engineers’ Award 2003 and SP-Green Buddy Award 2004. He has delivered invited presentations at international conferences, seminars, and forums. He has conducted several students, faculty, and management development programmes such as “Nurture Researcher Mindset”, “Smart, Clean & Green Energy Future”, “Synergising Project-based Learning & Design Thinking”, “Trainopreneurship”, and “Smart Career Portfolio”.

He is a Senior Member of IEEE, Member of All Hands Advisory Committee of the IUCEE Foundation, India, and a life member of the Institution of Engineers, India. He completed his Ph.D. from the National University of Singapore, M.S. from the University of Saskatchewan, Canada, and PD Advanced Cert in University Teaching from the University of Newcastle, Australia. He obtained PG-DBM from the Nagpur University, M.Tech. from the Banaras Hindu University, and B.E. from the Government Engineering College, Aurangabad in India, respectively. His interests include Sustainable, Clean, and Green Energy Leadership, Re-thinking Teaching, Learning, and Academic Leadership, Re-inventing & Transforming Education, Innovative Project Design & Management, SMART Education Model, Sustainable Development, cricket & chess.
LinkedIn | YT


Designing, developing, deploying, and delivering the curriculum itself is a highly complex and very time-consuming process. It becomes even an extremely gruesome and the most challenging exercise when it has to satisfy the ever-growing greed and conflicting needs of the 21st Century stakeholders. As such the multidisciplinary curriculum and holistic education have been emphasised in the Indian National Education Policy 2020. As there are varying perceptions and interpretations of the “Multidisciplinary” and “Holistic” terms, minimal easy to implement aspects have been considered and proposed while keeping the current system almost intact.

What can be done to further strengthen and enhance it? How to infuse, incorporate, and integrate multidisciplinary attributes with holistic features in the mainstream curriculum of the current system that too in such an unprecedented scenario is the theme of this presentation. The key features of the proposed model for integrated multidisciplinary-holistic education will be highlighted. The crucial role of Automation, Analytics, Artificial Intelligence, and Digital Technology in tandem with pragmatic implementation strategies will also be discussed.

How Standards Help Make Smart Cities a Reality Special Session 5

How Standards Help Make Smart Cities a Reality?

Sri Chandra
Sr. Director – Standards & Technology, IEEE

Subramanian Chidambaram
Director of Engineering, Intel Corporation

Sandeep Agrawal
Administrator (PM-WANI), CDoT

Dr. Pranav Jha
Senior Consultant, IIT-Bombay


The vision of smart cities is to use digital technologies to provide integrated services to their citizens through the free flow of information, and to usher in an era of good governance. Designing smart city Information Communication Technology (ICT) architecture is the essential first step in this direction. Cities are complex ecosystems, where government services pertaining to transportation, public safety, utilities, healthcare, education, social services, culture, economic development, and more are provided by a multitude of government organizations.

One of the key problems in smart cities is that cities are managed by a multitude of service providers and government organizations. Component systems are acquired by separate program offices and run by separate operation units. Standards play an important role in defining the infrastructure and addressing the interoperability issues.

This workshop is committed to Smart Cities Standardization and offers a portfolio of focused sessions on standards and programs addressing the key aspects of ICT Infrastructure:

➢ Overview of Standardization and its impact on Smart Cities
IEEE P1951.1 Standard for Smart City Component Systems Discovery and Semantic Exchange of Objectives – This standard defines a process to discover smart city component systems deployed in the city and proposes a classification mechanism to describe the component system based on the resources and data elements it exposes (such as Internet of Things (IOT) system, E-Government system, Geo-spatial system, Collaboration system, or similar component systems.)
IEEE P2872 Standard for Interoperable and Secure Wireless Local Area Network (WLAN) Infrastructure and Architecture – This standard describes a protocol that enables interoperable, semantically compatible connections between connected hardware (e.g. autonomous drones, sensors, smart devices, robots) and software (e.g. services, platforms, applications, AIS).
IEEE P19301.1 Recommended Practice for Software Defined Networking (SDN) based Middleware for Control and Management of Wireless Networks – This Recommended Practice specifies an SDN middleware to support unified control and management of multiple Radio Access Technology (multi-RAT) wireless access networks for Fifth Generation (5G) and beyond. It also defines an SDN based architecture, which facilitates Radio Access Network (RAN) level inter-working and unification of RATs.
IEEE P1451.99 Standard for Harmonization of Internet of Things (IoT) Devices and Systems – This standard defines a method for data sharing, interoperability, and security of messages over a network, where sensors, actuators and other devices can interoperate, regardless of underlying communication technology.

Global food waste is becoming a billion-tonne problem and reduction of this wastage is the need of the hour. Hereby, presenting our contribution to the sustainable development goals(SDGs) towards the reduction of food waste

IEEE Life Members Affinity Group IEEE LMAG Session

Saturday, 2nd July, 2022, during 5.30 pm to 7.30 pm

LMAG Overview
Rajendra K. Asthana
2022 Member IEEE Life Member Committee, 2022 Chair IEEE Region 10 Life Member Committee

Solar Power
Juzer Vasi

Engineering Strategic systems

Panel Discussion : How life members can give back to IEEE
Life Members

Electric Systems Modelling and Simulation – A Model-Based Design Approach Session

Electric Systems Modelling and Simulation – A Model-Based Design Approach

Mr. Ramana Anchuri works with the Education Team at The MathWorks, working with academia in India. He completed his undergraduate studies in Electrical and Electronics Engineering and Masters in Power Electronics form JNTU Hyderabad. Prior to joining The MathWorks, he worked with KPIT Pune as senior software engineer where he is responsible for control design for automotive engine systems, and with CYIENT limited as senior software engineer responsible for developing, verifying and validating aircraft engine control systems. He is passionate about teaching and learning, and his current interests include Power Electronics and Control Design, Model Based Design and Code Generation. 

Dr. Dhruv Chandel works with the Education Team at MathWorks, the creators of MATLAB and Simulink. He has close to ten years of experience in Mathematical Modelling, Simulation & Control System Design, Robotics and Artificial Intelligence. He previously worked as a researcher in academia as well as in industry, including four years with a startup renewable energy company in London.  Dhruv earned his Master’s and PhD degrees in Mechanical Engineering from the University of Bath, UK.  


Electrification is current worldwide ‘mega-trend,’ which includes the widespread adoption Renewable Energy, Electric Vehicles and Smart Grids. Making electrification successful, reliable and commercially-viable depends greatly on the quality of the engineering approaches used when designing at the system level.

In this session on Electric Systems Modelling and Simulation, we will discuss the various stages involved in modelling electrical systems. Starting from the fundamentals of circuit simulations, we will build up gradually to photovoltaic systems and then more complex topics like EV modelling and Battery Management Systems.

This workshop is suitable for engineering students in their 3rd or 4th years looking for projects to work on, research scholars seeking to understand physical modelling workflows, or faculty members looking for ideas on how to teach electrification-related topics effectively.