Metamaterials and their applications: Distinguished Lecture Series
2022-03-24 12:00 - 13:00 (Asia/Kolkata)
The Department of Electronics and Communication Engineering is hosting the first segment of the ECE Department Distinguished Lecture Series on March 24, 2022, from 12.00 pm to 01.00 pm IST. Prof Achanta Venugopal, Director, CSIR-NPL is the distinguished speaker of the event. He will be delivering a talk on the topic “Metamaterials and their Applications”.
Abstract of the Talk
Metamaterials are designed materials with unique properties that may not exist in naturally available materials. These are designed with sub-wavelength size components. In this talk, after briefly introducing metamaterials, the speaker will discuss on a few metal-dielectric and all dielectric metamaterials and their applications in wide-ranging areas covering stealth, single-photon emitters, reusable biosensors among others.
Speaker’s Profile
Venu Gopal Achanta obtained his PhD in Physics from Tata Institute of Fundamental Research, Mumbai and PhD in Electronics from Tokyo University, Tokyo, Japan. He is currently the Director of CSIR-National Physical Laboratory, Delhi. He is on lien from Tata Institute of Fundamental Research, Mumbai where he is a professor in the Department of Condensed Matter Physics and Material Science. He has served in various TIFR committees as chair and member. He is also on the senates of IISER, Berhampur and IIT, Delhi. He is a member of the executive council of Optical Society of India, vice-chair of IEEE Photonics Mumbai chapter and member of the program committee of the Association of Asia Pacific Physics Societies – Division of Condensed Matter Physics. He is on the editorial board of journals, Scientific Reports, Frontiers in Physics, Encyclopedia of Applied Physics, and the Indian Journal of Pure and Applied Physics. He is an honorary Fellow of the Metrology Society of India and senior member of IEEE. His research interests are in nano and quantum photonics with over 140 journal publications.

AI/ML algorithms for radio access networks
2022-04-09 10:30 - 12:30
The Department of Electronics and Communication Engineering is hosting the first instalment of the Distinguished Industry-Academia Interaction Lecture in the ECE DDIAL series. The event is scheduled on April 9, 2022, at 10.30 am. Dr. Serene Banerjee, Master Researcher, Ericsson Research, will be the keynote speaker. She will deliver a talk on the topic ‘AI/ML Based Interference Diagnostics and Mitigation for Improved Quality of Service in Radio Access Networks’.
Abstract of the Talk
For coverage and capacity optimization, Uplink Power Control is one of the key steps, in addition to antenna tilting and Downlink Power Control. For self-organizing networks, automated algorithms for Uplink Power Control are a necessity. However, Uplink Power Control affects the noise in the neighbouring cells. It is important to detect this interference to monitor uplink noise. Uplink noise due to power control manifests as static interference in the channel. The current state-of-the-art baseline model is based on regression models. We have proposed automated detection of static interference in the uplink channel of cells based on machine learning models. We have evaluated the same on customer data on LTE networks with high accuracy. The detected cells are subsequently used to correct the nominal power parameter through a proposed teacher-student model based on the primary cell and its neighbours. This approach shows better performance than the state-of-the-art baseline methods. The dual of static is dynamic interferences and can be attributed to traffic load, Passive Intermodulation (PIM) and thermal noise, etc. PIM identification is a major component in troubleshooting modern wireless communication systems. The introduction of carrier aggregation has increased PIM occurrences. Current state-of-the-art approaches include manual rule-based and hardware-based debugging. These approaches can detect the occurrence of PIM, long after the event occurrence and result in incurring incidental costs. We propose an ensemble of time series-based machine learning and signal processing approaches that can automatically identify PIM in real-time by analyzing Key Performance Indicators (KPI) of the primary cell and its nearest neighbours. We validate our results for various environmental conditions in data available from LTE and 5G consumer networks. We have further extended the work to multi-frequency time series to handle finer time granularities and detect PIM anomalies in an online learning setting. We further propose a self-supervised reinforcement learning approach to predict PIM related anomalies before it happens. We forecast environmental conditions that give rise to PIM based on offline historical data and model to predict future occurrences. Experimental results are on real-world datasets comprising 50,000+ cells which have shown to accurately predict PIM 60% of the time. To the best of our knowledge, this is the first work, where we are able to predict PIM anomalies before they happen. Post PIM-identification, we propose a binary search-based solution that is amenable to real-time implementation. We show through simulations that this search in tandem with a reinforcement learning-based solution can dynamically mitigate and cancel PIM. Results show that the number of steps to converge, to identify and mitigate the PIM in uplink frequency is reduced by a large factor. To summarize, our contributions include using machine learning algorithms for: (1) robust interference classification, (2) demonstrating p0-nominal recommender as teacher-student model, (3) a times-series analysis-based PIM identification, (4) extending the approach to multi-frequency time series, and for online learning, (5) demonstrating a self-supervised reinforcement learning approach to predict PIM anomalies before they happen, and (6) mitigating PIM, in spite of environmental unknowns, by employing binary search in conjunction with ML/RL-based approaches.
About the Speaker
Serene Banerjee, Master Researcher, Ericsson Research, has 17+ years of industrial experience after completing her PhD from the University of Texas at Austin, under Prof Brian L Evans in 2004. She has completed BTech(H) in Electronics and Electrical Communications Engineering from IIT Kharagpur in 1999. At Ericsson, she is focusing on developing AI/ML algorithms for Radio Access Networks. Prior to Ericsson, she has worked with Texas Instruments, HP, and Johnson Controls. She has 23 peer-reviewed publications, 9 granted patents, and several pending.

A hands-on session on lithium-ion battery: assembly and testing
2022-04-14 09:30 - 12:30
Allowing students to explore more into their learning domain will invariably enhance their quest for knowledge. The more students are encouraged to experiment with problems, tools, and substances they will work with, the better prepared they are to face any challenge head-on. It is also a better rewarding alternative as against the conventional book learning method.
Taking the current scenario into account,imparting hands-on training on cutting-edge developments is an excellent exercise to inculcate scientific spirit in young minds. Such initiatives should be actively promoted to equip students on par with the fast-evolving technological realm. We are delighted to announce that the SRM-Amara Raja Center for Energy Storage Devices, Department of Electronics and Communication Engineering, collaborates with NSS Cell-SRM AP to organise a “Hands-on Session on Lithium-ion Battery: Assembly and Testing” with the sponsorship from the DST-SERB Start-up Research Grant (SRG).
Date: April 14, 2022
Time: 9.30 am to 12.30 pm IST
We invite all the interested students to become part of this invigorating initiative and make the best use of this opportunity to receive an enriching training session. The event is also followed by lunch for all the participants.

Ultra-low power and agile IC design for novel sensor nodes for the Internet of Things
2022-04-23 10:20 - 12:00
The Internet of Things (IoT) has greatly increased our awareness of the world and broadened the scope of our engagement with it. In the first episode of the ECE Department Guest Lecture Series, the Department of Electronics and Communication Engineering at SRM University-AP is organising a lecture on April 23, 2022, from 10.20 am to 12.00 noon. Dr Orazio Aiello, Assistant Professor at the University of Genoa, Italy, will engage the audience on the topic Ultra-Low-Power and Agile IC Design for novel Sensor Nodes for the Internet of Things on that day.
The vision of a world where pervasive integrated electronic systems embedded in everyday life objects (e.g. household appliances, surveillance cameras, healthcare systems) are fully interconnected to collect, process, and exchange useful information requires energy-autonomous systems for distributed sensing and data acquisition. The low-cost requirement demands a small area, low design effort, digital-like shrinkage across CMOS generations, and design/technology portability. The possibility to exploit the digital (automated) design flow even for analog building blocks can dramatically reduce the design effort of any system-on-chip that faces the analog signal. Since data processing is digital, but most signals from the real world are analog, almost any electronic device that interfaces with the surrounding environment will benefit from the outcomes of this investigation. In this framework, the talk illustrates the concepts and the design flows which enable the implementation of analog functions by true digital circuits.
Biography of the speaker:
Orazio Aiello (Senior Member, IEEE) received the BSc and MSc degrees (cum laude) from the University of Catania, Italy, in 2005 and 2008, respectively, the M.Sc. degree (cum laude) from the Scuola Superiore di Catania, Italy, in 2009, and the PhD degree from the Politecnico di Torino, Italy, in 2013.,From 2008 to 2009, he was an Analog IC Designer and an EMC Consultant for STMicroelectronics, Castelletto, Italy. In 2012, he was a Visiting PhD. A student with Monash University, Melbourne, Australia. In 2013, he was a Research Fellow in a joint project with FIAT-Chrysler Automobiles, Turin. In 2014, he joined NXP-Semiconductors, Nijmegen, The Netherlands, as a Mixed Signal IC Designer and an EMC Expert. In 2015 and 2016, he was a Visiting Fellow with the University of Sydney and the University of New South Wales, Sydney, Australia. Since 2015, he has been working with the Green IC Group, Department of Electronics and Communication Engineering (ECE), National University of Singapore, where he has also been a Marie Skłodowska-Curie Individual and a Global Fellow leading the ULPIoT project. He is now an Assistant Professor at the University of Genova, Italy. His main research interests include energy-efficient analogue-mixed signal circuits and sensor interfaces. Dr Aiello is a member of the IEEE CASS Microlearning AdHoc Committee and is/was a Technical Program Committee Member of a number of conferences, such as NORCAS and APCCAS.
Join this informative lecture with Dr Orazio Aiello on April 23, 2022 at 10.20 am IST.

Engineering and research challenges in building smart cameras
2022-05-07 10:30 - 12:00
Machine Learning has started its move from the cloud to the periphery of the network. Today’s edge devices are becoming smarter and are no longer the dumb devices that would simply transmit the data to some central location. The Department of Electronics and Communication Engineering is conducting the 2nd department distinguished Industry-Academia Interaction lecture in the ECE DDIAIL series. Dr Amit Kumar Saha, Principal Engineer at Cisco Meraki, Bangalore, will deliver a talk on the topic ‘Computer vision at the edge’.
The talk will focus on the evolution of a specific type of edge device, the surveillance camera, from the traditional CCTV model to the smart camera model. It will discuss some of the engineering and research challenges in building smart cameras that lie at the periphery of the network.
Date: May 7, 2022
Time: 10.30 am to 12.00 pm IST
About the speaker
Dr Amit Kumar Saha is the Principal Engineer at Cisco Meraki, Bangalore. He received his PhD degree from Rice University in 2007. Prior to that, he obtained his BTech degree from IIT Kharagpur as a recipient of Dr B C Roy Gold Medal in 1999 for being the single graduating student with the best mix of academics and extracurricular activities. Dr Amit explores the next generation of technology at the intersection of networks, distributed systems, and data science, with a special emphasis on system-wide design. He is part of Cisco Meraki’s Camera Intelligence team and enables Cisco’s internal products as well as customers better manage their AI/ML life cycles by making it easier to train and tune models and deploy distributed machine learning workloads. He passionately seeks out opportunities to give back to the community through talks, research collaborations, organising conferences, and as visiting faculty at several top institutes in India.

Faculty Development Programme on Optical Communication and Wireless Networks
2022-05-23 10:30 - 2022-05-27 12:00
SRM University AP is delighted to announce the Faculty Development Programme on Recent advancements in optical communication and wireless networks. The session is scheduled from May 23 to 27, 2022. The programme will be managed by the faculties of the Department of Electronics and Communication Engineering. This five-day hybrid programme aims to enhance research capabilities mainly for the researchers and professionals working in Free Space Optics and Advanced Wireless Communication Networks. Eminent scientists and professors from highly reputed institutes are invited to share their research experiences.
On the first day of the session, the keynote speaker, Professor M.S Alouini, KAUST, Saudi Arabia, will handle a session on Towards Connecting the Remaining 3 + Billion from 10.30 am to 12.00 pm. The FDP targets faculties from Abroad and Indian Institutes, Research scholars, Postgraduate and Undergraduate students. The sessions will be beneficial to those participants who are doing or planning to start a research career in optical/wireless communication network domains.
A wide variety of topics will be discussed during the five-day program. Visible light communication, Optical Imaging and Holography, Computational Optical Sensing and Imaging, VLC for IoT Networks, Terahertz Photonics for Wireless Communications, Deep learning for Wireless Networks, Intelligent Reflecting Surfaces, Edge Computing for IoT Networks, Beyond 6G Communications and Molecular Communications are some of the crucial ones among them.
There is no registration fee for the programme. However, the certificate will be provided to all the attendees based on the total attendance. The recordings of the sessions will also be provided to all attendees.
Downolad the brochure here

An introduction to federated learning
2022-09-16 16:00 - 18:00
The Department of Electronics and Communication Engineering is hosting a seminar on September 16, 2022, at 4.00 pm as part of the Guest Lecture Series. Dr Anurag Singh, Associate Professor and Dean of Research and Consultancy, NIT Delhi, will deliver a talk on the topic “Federated Learning”.
Abstract of the talk
The most crucial resource for any business, individual, or person in the world is data. Everyone, whether an individual or an institution, wants to prevent a data breach. High-quality data must be subjected to machine learning algorithms. The model is trained using traditional machine learning techniques, which save data to one server. There is a chance that this method will expose personal information. A machine learning technique called federated learning (FL) enables machine learning models to train on various datasets located on various sites without sharing data. Without putting training data in a centralised location, it enables the development of a common global model. Additionally, it permits personal information to stay in local places, lowering the risk.
A new area of machine learning called federated learning already offers greater advantages than conventional machine learning techniques.
Data Security: Training data is kept locally on the devices, negating the need for a data pool.
Data variety: Heterogeneous data since it incorporates information from various users.
Real-time continuous learning: Client data is used to enhance models continuously.
Federated Learning is applied in the field of IoT, Healthcare, smartphones, Advertising, Autonomous Vehicles etc.
Speaker’s Profile
Dr Anurag Singh is currently working as the Associate Professor and Dean of Research and Consultancy at NIT Delhi. He received his PhD from the Indian Institute of Technology Kanpur. His research areas are Network Theory, Dynamics on/of Networks, Opinion Dynamics, Epidemic Modeling, Intelligent transportation system etc. Dr Anurag Singh has teaching experience at both undergraduate and graduate levels. He has taught courses ranging from the introductory level to specialized courses in Computer Science and Engineering, and Mathematics. Currently, he is mentoring students at graduate and undergraduate levels at the National Institute of Technology Delhi, India. In addition, he has also been supervising PhD students. He has around 70 publications featured across various leading journals and three DST-funded projects to his credit.

Explore 5G: New applications for IoTs and AI
2022-11-19 14:00 | Online event
The advent of the Fourth Industrial Revolution characterised by the amalgamation of technologies, blurs the lines between physical, digital, and biological spheres. The future of communication technology, an active constituent of the revolution, lies with the 5G cellular network. The Department of Electronics and Communication Engineering is organising a Guest Lecture on “Massive IoT and AI in 5G cellular communication” on November 19, 2022. Mr Anoop Purohit, Consultant Specialist-5G will address the session on how 5G facilitates high bandwidth communication and provides an opportunity for multiple essential applications that can have a life changing impact on human civilization.
The webinar will highlight various special applications which will be provided by 5G, like Massive Internet of things and Artificial Intelligence, further promoting smarter homes and an advanced ecosystem for analysing our needs and providing them automatically. The talk will expound on a range of topics such as smart metres, smart homes, self-drive cars, robot medical surgeries and an ecosystem of devices interacting intelligently to comfort civilization.
About the speaker
Mr Anoop Purohit is consultant specialist-5G, Nokia Taiwan, with 12 Years of national and international wireless telecom network experience in Cloud-infra and packet core training, integration, operations, planning, optimization, dimensioning, service delivery and customer support in top-tier service providers and multi-vendor environments (Nokia, Ericsson, ALLU university-Bell Labs) in the fields of 5G, LTE, UMTS, GSM, and 2G. He has worked across the globe in places like the United States, South Korea, Canada, Singapore, Australia, Taiwan, India, PNG, Middle East, South East Asia and Africa. At Nokia Taiwan, he is the Lead Architect for Nokia Massive IoT (Internet of Things), and is responsible for planning and optimising 5G solutions for most of Nokia Taiwan customers. He is also involved in the implementation of Artificial Intelligence in the Cellular Network.

Developments and new emerging applications of semiconductor devices
2022-11-28 09:00 - 10:30 | Zoom
The Department of Electronics and Communication Engineering is organising the third edition of the Departmental Distinguished Industry-Academia Interaction Lecture Series on November 28, 2022. The title of the talk is “Semiconductor Devices Developments & New Emerging Applications”. Dr Srinivasa Yeduru, Senior Manager, Technology Pathfinding Group at Micron Technologies Boise, USA, will be the keynote speaker for the event.
Abstract of the Talk
The creation of new semiconductor devices, technologies and applications will have a major impact on the semiconductor industry. Artificial intelligence (AI) is expected to drive the major expansion of the semiconductor industry due to its high demand. In recent years, high demand has stemmed from the automotive market as it is expected to grow the fastest in the AI sector. Autonomous vehicles or self-driving cars are equipped with sensors that allow them to see the world around them. Self-driving cars are already on the roads today, and they are likely to play a disruptive role not only in personal transportation but also in many other industries as well. As years go by, there will be a huge spike in demand for AI-tailored semiconductors as connectivity, sensing, and instant computing will become increasingly central to everyday devices. Semiconductors play a prominent role in the technology that people use every day. As technology continues to expand and transform at a rapid pace, many emerging application development demand novel high-performance devices which continue to scale with costs.
Speaker’s Profile
Dr Srinivasa Yeduru has 13 years of experience in the area of new product development, technology pathfinding & excellence, and process integration to manufacture technologies like memory devices, high voltage MOSFETs & IGBTs, and MEMS. Before joining Micron technologies, he worked at ONSEMI as the senior manager, leading a team of process integration and process engineers. Prior to that, in Infineon technologies, he held diversified management roles as product development manager for high voltage MOSFETs, and process integration manager covering fab, post fab and assembly process development and integration responsibilities. He earned his doctorate in mechanical engineering, specializing in microelectronic devices, from Karlsruhe Institute of Technology, Germany. He holds many patents, authored books and several international publications on power semiconductors and MEMS.

Alumni Talks: Your Way Forward with a BTech in ECE
2023-03-18 16:00 - 17:00 | Zoom
Are you curious about how and where to pursue higher studies after completing your BTech in ECE? The Directorate of Alumni Affairs and Higher Connect Club of the Department of Electronics and Communication Engineering is organising an Alumni Talk titled “Journey from SRM AP to Higher Studies” on March 18, 2023. This interactive session will feature three distinguished alumni sharing their experiences and insights on pursuing higher studies after completing their BTech in ECE from SRM University-AP.
Chandanam Sai Nived, currently pursuing Master’s in VLSI & Embedded Systems at the University of Texas at Dallas, Pulivarthi Jithendra, seeking Master’s in VLSI at Illinois Institute of Technology, and Devarajugattu Jayanth Saikumar, also pursuing Master’s in VLSI & Embedded System at the University of Texas at Dallas are the speakers for the session. The alumni speakers will share their personal journeys, including the challenges and opportunities that helped them achieve their goals and secure admissions in the universities of their dreams.
Join this informative and inspiring session to actualise your dream of studying abroad.

FDP on Advancements in Computational Biology and Healthcare
2023-04-17 10:00 - 2023-04-21 16:00
Computational Biology is a multidisciplinary field that utilises computational methods to analyse gigantic amounts of biological data promoting novel breakthroughs in biology and related fields. The Department of Electronics and Communication Engineering is conducting a five-day online Faculty Development Programme on “Advancements in Computational Biology and Healthcare” from April 17-21, 2023. The FDP is aimed to enhance research capabilities mainly for the researchers and professionals working in bioinformatics, biosystems, and healthcare-related applications including artificial intelligence. Eminent scientists and professors from highly reputed institutes and industries will be invited to share their research experiences and offer hands-on sessions with python and MATLAB.
Topics that will be covered, but not limited to:

Biomedical signal processing
Biomedical image processing
Mathematical analysis of biological systems
Machine learning for healthcare systems
Genetic analysis with python programming

Join the programme to gain valuable insight into the development of computational models in enhancing the efficacy of healthcare in today’s society!
Date: April 17- April 21, 2023
Time: 10.00 AM – 04.00 PM
Mode of Lecture: Online
Target Audience: Faculties from institutes and universities, Research scholars, PG/UG students with Electronics and Communication Engineering, Computer Engineering, Mathematics, or Biology backgrounds.

Last Date for Registration has been extended to April 16, 2023.
Registration Fees:
For faculty and industry – Rs. 500/-
For PG and Research scholars – Rs. 300/-
For UG students – Free

Account details for fee payment:
A/C Name – ACCMS-INTERNATIONAL CONFERENCE ON MATERIALS GENOME
A/C No. – 6791555662
Bank Name – Indian Bank
IFSC Code – IDIB000S297

Contact Details: Dr Anuj Deshpande
E: deshpande.a@srmap.edu.in
M: +91-96359-2380
Dr Sibendu Samanta
E: sibendu.s@srmap.edu.in
M: +91-86706-84968
List of Speakers:

Programme Schedule:

Convenors:

Dr Sibendu Samanta, Asst Professor, Dept. of ECE, SRM AP

Dr Anuj Deshpande, Asst Professor, Dept. of ECE, SRM AP

Prof. Irudaya Rajan on Kerala Migration Survey
2023-04-19 14:00 | S205, Conference Hall, New Academic Block
Migration has become a worldwide phenomenon in the 21st century. Migratory tendencies have been inherent in the context of Kerala, and it has been shaping the economic and social situation. The economic boom within the Gulf countries gave migration a considerable boost, reaching its peak in terms of both numbers and remittance. Ironically, Kerala, of late, is witnessing a reverse migration of labour. On this note, the Department of Economics is organising a distinguished lecture titled “Big Data on Migration” on April 19, 2024. Distinguished academician and scholar, Prof. Irudya Rajan, Chairman at The International Institute of Migration and Development (IIMAD), Thiruvananthapuram will deliver the lecture.
Join the lecture for a resourceful session!
Abstract
The first Kerala Migration Survey started in 1998 as a part of understanding the impact of migration on individuals, households, communities, the economy, and society using a stratified multistage random sampling of 10,000 households. Over the period of the last 25 years, our sample size has increased from 10000 in 1998 to 15000 in 2008 and 20000 in 2023. The estimates produced through this survey have become an important source for the Government of Kerala for its policy-making decisions regarding migration governance, particularly return migration during the COVID-19 crisis. Interestingly, Kerala model migration surveys have been replicated in the following states of India: Tamil Nadu, Gujarat, Punjab, Goa, Jharkhand and Odisha.
About the Speaker
Prof. Irudya Rajan is a seasoned academician with over 30+ years of teaching experience across the country. He was conferred with a PhD in Demography from the International Institute for Population Sciences, the University of Mumbai, in 1989. His research interests include International Migration, the Economics of Ageing and Demography, and Population Ageing. An esteemed scholar, Prof. Rajan has published in various reputed international and national journals, book chapters and research projects funded by global organisations. He currently holds the position of Distinguished Visiting Professor, at the Department of Economics, SRM University-AP and Chairman at The International Institute of Migration and Development (IIMAD), Thiruvananthapuram. Prior to this, he held the position of Professor, at the Centre for Development Studies, Thiruvananthapuram.
Since 1998, Prof. Rjan coordinated eight large-scale migration surveys in Kerala with Professor K C Zachariah. The success of the Kerala Migration Survey urged neighbouring Indian states like, Goa (2008), Punjab (2009), Tamil Nadu (2015), and Gujarat (2011) to replicate the same. He also developed the first longitudinal Ageing Survey in India (Kerala) in 2004 and repeated the same every three years. The first Kerala Ageing Survey (KAS) completed its seventh wave in 2022. The second KAS which began in 2013, completed its fourth wave in 2022.

OCDM in Optical Communications
2023-04-19 15:30 - 16:30 | Tiered Classroom, 5th Floor, Admin Block
The Directorate of International Relations and Higher Studies, in association with the Department of Electronics and Communication Engineering, is organising a Plenary talk on Optical Code Division Multiplexing (OCDM) in optical communications. The session will be handled by Prof. Dr Mohd Rashidi Che Beson, Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Malaysia.
About the Speaker
Prof. Dr Mohd Rashidi Che Beson has been an associate professor and Research Fellow at Advanced Communication Engineering, Centre of Excellence – Faculty of Electronic Engineering & Technology, UniMAP since 2014. An advocate of interdisciplinary research, his research interests lie in the strength of Optical CDMA technology, RoF, Visible Light Communication, Horticulture and Fiber sensor technology. He has published 136 scientific papers, including conferences and journals, from 2014 until July 2022. The total citation was 540 from Google Scholar and 469 from Scopus databases. In addition, he is also a regular reviewer for several high-impact ISI-ranked journals. He has also successfully supervised 3 PhD and 6 MSc students as the main and co-supervisor. He is currently supervising 4 PhD students. He received his professional engineer qualification (Ir.) from the Board of Engineer Malaysia (BEM) in March 2018 and a professional technologist (Ts.) from the Malaysia Board of Technologists (MBOT) in July 2018.

Integrated Optical Sensors: Applications and Design
2023-04-26 14:00 - 15:00 | ALC 1, Homi J Bhabha Block
Optical sensors are gaining popularity in the fields of robotics and medical services. The Department of Electronics and Communications Engineering is organising an Industry guest lecture titled “CMOS Integrated Optical Sensors – Applications and Design” on April 26, 2023. Dr A G Krishna Kanth, Director of Analog Mixed-Signal R&D at AMS OSRAM group, will deliver the session.
Join the session to learn about the development and processing of Optical sensors!
Abstract
Optical sensors are rampant these days in all consumer electronics, be it mobile phones, smartwatches, laptops, ipads etc. It also has been getting much importance in industrial robotics and medical devices. CMOS-integrated optical sensors are related to the miniaturisation of optical sensors to see and sense what our eyes cannot see. This talk will focus on process, packaging, circuit design and system design challenges while designing integrated optical sensors.
About the Speaker
Dr A G Krishna Kanth is the Director of Analog Mixed-Signal R&D at AMS OSRAM group. He is an IEEE Senior member and currently the Vice-Chair for IEEE CAS/EDS Hyderabad Chapter and is frequently involved in delivering technical lectures at various universities. He received his PhD from IIIT Hyderabad and has completed his BTech and MTech from IIT Bombay, specialising in Microelectronics. He was awarded the President of India Shankar Dayal Sharma gold medal and the IIT Bombay Student Roll of Honour in 2002. Dr Kanth specialises in Analog IC Design, sensors and sensor interfaces, high-performance analog signal processing, and power management for automotive and consumer semiconductor IC design. He had earlier worked with Texas Instruments, Bangalore and Qualcore Logic, Hyderabad, leading the Analog IC design teams. He is an adjunct professor at IIT Hyderabad and Digital University Kerala. He is on the Academic Council and a BoS member at several universities. He has 12 patents and 10 IEEE publications.

Paving The Way For Next-generation AI
2023-05-08 14:00 - 17:00 | S209, Level 2, New Academic Block
The Department of Electronics and Communication Engineering is organising an interaction for its faculty with the acclaimed academician, Dr Bharat Ramesh, Senior Lecturer at International Centre for Neuromorphic Systems, Western Sydney University, Australia, on May 8, 2023. Dr Ramesh will speak on Neuromorphic Engineering – Paving the way for Next-generation AI.
Abstract of the talk
Neuromorphic Engineering is a subfield of Electrical Engineering that aims to apply knowledge of how signals are processed in the brain to build electronic signal processing systems that vastly outperform current digital signal processing systems. Current ‘smart’ sensors are generally sensors with a built-in computer. We aim to develop smart sensors with a built-in brain by combining bio-inspired sensors with bio-inspired signal processing.
Reverse Engineering the Brain – The brain creates a coherent interpretation of the external world based on input from its senses. Yet data from the senses are unreliable and confused. How does the brain determine what is out there in the world around it? Neuromorphic Engineering conducts neurophysiological and psychophysical investigations combined with theoretical, computational, and electronic modelling studies to discover how the brain achieves this. The outcomes of this research will then be applied to create intelligent electronic sensors.
This talk reviews the fundamentals and properties of neuromorphic sensors and provides a unified view of the main approach taken. Examples are presented to demonstrate the application using a novel setup known as Astrosite. Only about 40% of those satellites are active, so the potential for disruptions caused by dead satellites and debris in orbit that don’t perform as expected has increased the need to track and monitor objects in space. Western Sydney University has been tackling this problem with bio-inspired (neuromorphic) engineering principles. Using unique event-based sensors on mobile telescopes, they have demonstrated the ability to capture and track real-time orbital objects day and night.
About the Speaker
Dr Bharath’s primary research interests include pattern recognition and computer vision. His research is centred on event-based cameras for computationally efficient machine learning for problems such as object recognition and related areas such as scene understanding, face recognition, and object detection. He has published and reviewed papers at well-known AI/ML conferences. He also serves as a reviewer for top conferences such as the CVPR and journals like Transactions on Image Processing (TIP). He received a BE degree in electrical & electronics engineering from Anna University of India in 2009; an MSc and PhD in electrical engineering from the National University of Singapore in 2011 and 2015, respectively, while working at the Control and Simulation Laboratory on Image Classification using Invariant Features.
To learn more about this cutting-edge technology, join the session!

Unveiling the Future of Biomedical Imaging with Prof. Naren Naik
2023-10-30 14:00 - 16:00 | Tiered Classroom, 5th Floor, Admin Block
The Department of Electronics and Communication Engineering is pleased to introduce an exciting and enlightening talk by the esteemed Prof. Naren Naik, a distinguished authority in Electrical Engineering from IIT Kanpur on October 30, 2023 that promises to push the boundaries of biomedical imaging and research. Prof. Naik will explore the captivating realm of “Dynamic Shape-Based Biomedical Tomographic Reconstruction Algorithms.” This topic represents a cutting-edge fusion of engineering and medicine, offering remarkable insights into the future of healthcare and diagnostics.
Prepare to embark on a journey through the intricate world of tomographic reconstruction, where mathematical algorithms and shape dynamics converge to transform how we visualize and understand the human body. Prof. Naik’s expertise and pioneering research in this field will unveil a world of possibilities and innovations that are set to shape the future of biomedical imaging.
Join to unlock the secrets of dynamic shape-based biomedical tomographic reconstruction algorithms!
About the Speaker
Prof. Naren Naik specialises in the modelling and reconstruction algorithms for tomographic imaging. He is a Professor in the Department of Electrical Engineering and the Centre of Lasers and Photonics at Indian Institute of Technology, Kanpur. His major application thrust in the past few years has been in functional biomedical imaging with fluorescence optical and photoacoustic tomography, as well as electrical impedance and impedance-acoustic tomography.
Abstract of the Talk
Tomography (coming from the Greek (tomos = slice) is the science of computationally quantitatively obtaining (“reconstructing”) the internal structure of a medium of interest from the data obtained by the interaction of an interrogating signal with the medium. It is an inverse problem where computational signal processing frameworks work together with the physics of radiation-matter interaction to yield the desired interior properties of objects of interest. The talk will first aim to introduce the basic ideas involved in biomedical tomographic imaging with an emphasis on optical-based modalities. The reconstruction problem is defined and classified, and the algorithmic framework to solve it is discussed. We will then discuss solutions we have developed for dynamic reconstruction problems in a straight path (a dynamic boundary problem) and pharmacokinetic fluorescence photoacoustic (static boundary but time-varying states) tomographies. The latter problem in pharmacokinetic Imaging has vital applications in early cancer detection and metabolic imaging.

Guest Lecture on Analog Low Dropout Regulator Design by Dr Nagateja
2024-04-20 13:00 - 15:00 | Zoom
The Department of Electronics and Communication Engineering (ECE) is delighted to announce an upcoming online guest lecture by Dr. Nagateja Thottempudi, Senior Analog IC Design Engineer at Richtek Tech. Corp., Taiwan. The lecture, scheduled for April 20, 2024, from 1:00 PM to 3:00 PM, will focus on the “Introduction and Designing Procedure of Analog Low Dropout Regulator.”
Dr Nagateja Thottempudi’s expertise in analogue IC design and extensive industry experience make him an ideal speaker to shed light on the concepts of power management integrated circuits (PMIC) and low dropout regulators (LDOs). The lecture promises to provide valuable insights into the intricate design procedures and applications of analogue low dropout regulators, offering attendees a deeper understanding of this critical component in power management.
The session will delve into the significance of low-noise, low-dropout linear regulators, their applications in noise-sensitive devices such as analogue-to-digital converters (ADCs), digital-to-analogue converters (DACs), and RF components, and their role in power management for various electronic systems.
This guest lecture presents an exceptional opportunity for students, faculty, and industry professionals to gain valuable knowledge from a distinguished expert in the field of analogue IC design. The ECE department encourages all interested individuals to attend and benefit from Dr Nagateja Thottempudi’s expertise and insights.
Stay tuned for this enlightening session that promises to broaden horizons and deepen understanding in the realm of analog low dropout regulator design.

Exploring the Scope of AI - V2X Integration
2025-02-07 11:00 - 13:00 | S-614, SR Block
The Department of Electronics and Communication Engineering is conducting an Invited Talk by Dr Pradeep Chennakesavula from Foxconn Technology, Taiwan on the topic “AI Meets V2X: Enabling Smart, Safe, and Scalable Vehicular Networks” on February 07, 2025.
Join to learn more about the integration of AI with Vehicle-to-Everything Communications!
Abstract
The integration of Artificial Intelligence (AI) into Vehicle-to-Everything (V2X) communications is transforming the landscape of intelligent transportation systems, addressing the increasing demands for safety, efficiency, and scalability in vehicular networks. By leveraging advanced AI techniques such as machine learning, deep learning, and reinforcement learning, V2X communications can enhance real-time decision-making, predictive analytics, and dynamic resource allocation.
This lecture examines how AI empowers V2X communications to predict and mitigate traffic congestion, improve vehicular coordination in high-mobility scenarios, and enhance safety-critical applications through accident prediction and proactive alerts. It also discusses the role of AI in optimising spectrum usage, power control, and edge computing capabilities, ensuring ultra-reliable and low-latency communication (URLLC) essential for autonomous driving and platooning.
The discussion delves into the pressing challenges of deploying AI in V2X systems, including data privacy, scalability in dense vehicular networks, and the need for real-time learning under dynamic environments. By highlighting the intersection of AI with 6G technologies, this lecture aims to provide a forward-looking perspective on the transformative potential of AI in shaping the future of vehicular communication systems. This exploration is critical for advancing autonomous transportation and enabling next-generation intelligent mobility.
About the Speaker
Dr Pradeep Chennakesavula is a researcher in the Next-Generation Communications Research Center at Hon Hai Research Institute, a corporate research centre of Foxconn Technology Group, Taipei, Taiwan. In this role, Dr Pradeep is actively engaged in cutting-edge research and development in next-generation communications technology, with a particular focus on Vehicular-to-Everything (V2X) Communications, Vehicular Edge Computing, and Vehicular Edge Caching.
He holds a B.Tech. degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Hyderabad, India, earned in 2009. In 2021, Pradeep completed his Ph.D. in Communications Engineering from the Institute of Communications Engineering at National Tsing Hua University, Hsinchu, Taiwan.r

Distinguished Lecture on Multidisciplinary Research and Networking in Engineering Education
2025-05-01 10:00 - 12:00 | ALC 1, Homi J Bhabha Block
The Department of Electrical and Electronics Engineering is organising the Distinguished Lecture on the topic “Era of Multidisciplinary Research and Networking in Engineering Education” on May 01, 2025, at 10:00 AM. The session will be delivered by the distinguished Prof. Archana Sharma.
Abstract
The 21st century heralds an era where ground-breaking innovations emerge at the confluence of diverse disciplines. From the evolution of cathode ray technology into sophisticated monitoring devices to the transformative applications of nuclear energy extending beyond power generation into food preservation and healthcare, progress is increasingly driven by synergistic efforts. A glimpse of these developments and applications will be illustrated. The very development of particle accelerators, a testament to multidisciplinary science and technology, exemplifies this trend, drawing expertise from engineering, alongside fundamental sciences like physics, chemistry, biology, and materials science. Indeed, contemporary advancements, such as the smart grid, IoT and countless other inventions, are inherently interdisciplinary in nature.
To maintain a competitive edge and meet burgeoning global demands, not only is multidisciplinary research crucial, but timely collaboration through effective networking is equally paramount. As India is navigating through its ‘Amrit Kaal’ with the ambitious goal of becoming a developed nation by 2047, the synergistic partnership between academia, industry, and researchers will be the cornerstone of this transformation. This presentation will underscore the vital role of multidisciplinary approaches and robust networking in fostering innovation and driving technological advancement within an engineering college ecosystem. The commendable efforts of educational institutes, in actively cultivating this collaborative spirit and contributing to the realization of India’s developmental aspirations, is highly appreciated with the way forward for Viksit Bharat.
About the Speaker
Prof. (Dr.) Archana Sharma, FNAE, FIE, FIET (UK), FNASc, is Distinguished Professor at Dr. SPM IIIT, Naya Raipur, and Senior Professor at HBNI Mumbai. She retired as Distinguished Scientist and Director of the Beam Technology Development Group, BARC Mumbai. With vast expertise in RF/DC electron beam accelerators, laser and plasma systems, pulsed power technologies, and technology transfers, she has significantly contributed to nuclear, industrial, and environmental sectors. Her achievements include developing India’s first 1MV,30 kA ,80ns multi-gigawatt pulsed power system for Flash X-rays, intense microwave sources for IEMI studies, shock plasma generators for oil recovery, and electron beam accelerators for food, medical, and industrial applications. Prof. Sharma has collaborated with major organizations like ONGC, BNP, NTPC, and contributed to the National Mission for Clean Ganga through indigenous wastewater treatment technologies. She has received numerous awards, including EMC Engineer of the Year (Asia-Pacific, 2023), Top 75 Women Professionals Award (2022) by Principal Scientific Adviser , Government of India and British high commission, SEBTA-2024 Meritorious Award, IEI Technical Excellence Award (2024), Mural M Chugani Award by Indian Physics Association (IPA) for Applied Physics Contribution in (2024), Lifetime achievement award by Indian Society for Particle Accelerators (2025). She has guided 17 Ph.D. scholars, 20 M. Tech theses, and authored over 200 publications.

Invited Talk on Safety Standards for Railway Signaling
2025-08-06 10:30 - 12:30 | Theatre, SR Block
The Department of Electronics and Communications Engineering along with Efftronics Systems Pvt Ltd. is organising a Departmental Invited Talk on “Functional Safety Standards for Railway Signaling” by Dr P Raja Goundan, Former General Manager Indian Railways and Expert Signalling, Train control and Telecommunications, Hyderabad. The talk will be beneficial for the research scholars, M.Tech. students, and undergraduate students of the Co-teaching for the Signals and Systems course.
Join the talk for an insightful session.
