Dr M Durga Prakash, Assistant Professor in the Department of Electronics and Communication Engineering, and his PhD scholar, Ms U Gowthami, have published a research paper titled “Performance Improvement of Spacer-engineered N-type Tree Shaped NSFET towards Advanced Technology nodes” in the Q1 journal, IEEE Access. The paper has an impact factor of 3.9 and will pave the way for significant advancements in the field.

Here’s an abstract of their research paper


Scaling gate lengths deep is most reliable with tree-shaped Nanosheet FETS (NSFET). This paper uses TCAD simulations to study the 12nm gate length (LG) n-type Tree-shaped NSFET with a stack of high-k dielectric (HfO2) and (SiO2) spacers. The Tree-shaped NFET device features high on-current (ION) and low off-current (IOFF) with T(NS) = 5 nm, W(NS) = 25 nm, WIB=5nm, and HIB = 25 nm. Comparison of single- and dual-k spacer 3D devices and DC properties are shown. Because fringing fields with spacer dielectric prolong the effective gate length, the dual-k device has the highest ION / IOFF ratio, 109, compared to 107. This research also examines where work function, inter bridge height, breadth, gate lengths, temperature, and analog/RF and DC metrics affect the device. The suggested device has good electrical properties at 12 nm LG, with DIBL = 23 mV/V, SS = 62 mV/dec, and switching ratio (ION / IOFF) = 109. The device’s performance proves Moore’s law applies to lower technological nodes, enabling scalability.

The link to the article- https://ieeexplore.ieee.org/document/10499264 DOI: 10.1109/ACCESS.2024.3388504

The Department of Economics takes immense pride in announcing the publication of the research paper, “Determinants of Rural Households’ Income Inequality in India” authored by Dr Ghanshyam Pandey, Assistant Professor. The paper has been published in the Journal of Agricultural Economics Research Review (ABDC-C), and has an impact factor of 0.19. Dr Pandey’s paper examines the factors that determine income inequality among rural farm households in India and discusses the implications of the findings for policymakers, practitioners, and researchers. The study highlights how addressing the identified factors could potentially reduce income inequality among rural farm households and improve the overall well-being of the rural population.


This study has identified the drivers of income inequality in rural India using IHDS 2011–12 national-level survey. The inequality decomposition methodology developed by Fields (2003) based on a two-way regression methodology has been used. The study has modified the previous regression based inequality decomposition technique by accounting for diverse income sources and regimes as well as by effectively correcting for selectivity in the various income regimes. The CLAD model has been used to distinguish the determinants of income inequality in rural India. The study has indicated that income inequality in farm households can be attributed to the level of education, family size, caste/social group composition, and composition in land ownership and that family size and land ownership are instrumental primarily due to off-farm labour income. The study has shown that education is a significant factor in income inequality due to its impact on off-farm work income. The study has suggested that a continued increase in variability in land distribution may exacerbate income inequality in households in rural India.

Link to the Article

Pandey G and Devi B (2023). Determinants of rural households’ income inequality in India. (2024). Agricultural Economics Research Review, 36(2), 213-225. https://epubs.icar.org.in/index.php/AERR/article/view/150669

In the groundbreaking research paper titled “Innovative Web Application Revolutionizing Disease Detection: Empowering Users and Ensuring Accurate Diagnoses,” Dr Pradyut Sanki, Associate Professor at the Department of Electronics and Communication Engineering, along with doctoral scholars Mr P N S B S V Prasad, and Mr Syed Ali Hussain and BTech students Ms Pragya Gupta and Ms Swikriti Khadke introduce a cutting-edge web application that aims to revolutionise disease detection and empower users to understand their health conditions.Their research paper published in the Journal of Electronic Materials has an impact factor of 2.1.


This paper presents an innovative enhancement aimed at revolutionizing disease detection and providing users with a reliable source of information for accurate diagnoses of their symptoms. Our open-source initiative combines a user-friendly interface design with advanced machine learning models, establishing a new benchmark for accuracy and enabling integration with even higher-performing models. We address the pervasive challenges of misinformation and misdiagnosis associated with online symptom searches, presenting a significant advancement in disease detection. Leveraging cutting-edge machine learning techniques.

Practical and Social Implications:

The practical implementation of our research means that people can use our smart tool to get better advice about their symptoms. This could lead to quicker and more accurate diagnoses, helping people get the right treatment sooner. Socially, our research could reduce the spread of false information online about health issues, leading to better-informed decisions and potentially improving overall public health.

Future Research Plans:

As a future research plan the students and faculty together plan to refine and expand their smart tool to make it even more accurate and helpful. They aim to incorporate feedback from users and collaborate with other experts to continually improve the technology. Additionally, they plan to explore ways to make the tool more accessible to a wider range of people and to address any potential biases in the data or algorithms. Overall, they are committed to advancing healthcare technology for the benefit of society.


research images- Dr Pradyut Sanki

It is with great pleasure that we announce the publication of a research paper titled “Self-Learning Controller Design for DC-DC Power Converters with Enhanced Dynamic Performance,” jointly authored by Dr Tousif Khan N, Associate Professor, Department of Electrical and Electronics Engineering, and Dr Ramanjaneya Reddy & Dr Arghya Chakravarty, Assistant Professors, Department of Electrical and Electronics Engineering. The research paper introduces a novel self-learning control for precise output voltage tracking in DC-DC buck power converters.


This article introduces a self-learning robust control approach for accurate output voltage tracking in DC-DC buck power converters, focusing on scenarios with high precision requirements and significant load uncertainties. The method employs a simple online neural network to swiftly estimate unexpected load changes and disturbances across a wide range. Operating within a backstepping framework, the controller utilises neural network-learned uncertainties to enhance stability and improve dynamic and steady-state performance of both output voltage and inductor current. Extensive numerical simulations and practical experiments on a laboratory prototype demonstrate substantial enhancements in dynamic performance with a 94% reduction in settling time and precise steady-state tracking. The reliability of the proposed controller is further supported by the consistency between computational and experimental outcomes, showcasing its potential for real-world applications.

Practical implementations:

The proposed controller can be implemented/used for robotics applications, industrial processes, and medical equipment where precise control is needed.

Future research plans:

The following are the potential future directions of the proposed work;

(i) Design and development of the proposed self-learning neural network-based control for DC-DC buck converter systems with real-time DC sources, such as solar PV and fuel cells, experiencing highly intermittent input voltage changes.

(ii) Incorporating inductor current constraints and output voltage limitations into the proposed controller would also be an avenue worth exploring.

We congratulate the professors for their valuable contribution and look forward to future breakthroughs in this area.


Dr Tousif Khan research

The Directorate of Alumni Relations, in collaboration with the Directorate of Corporate Relations and Career Services (CR&CS) and SEAS Engineering at SRM University-AP, is organising a one-of-a-kind alumni talk titled, “Transitioning from Academia to Industry: Embarking on a Professional Odyssey.” The interactive session by Mr Sai Krishna Rohith K, Software Engineer at Target and a former student, Class of 2021 B.Tech Computer Science and Engineering will be conducted online on April 26, 2024.

The upcoming session aims to provide insights into the various challenges that students may encounter while transitioning from their academic life to a professional career. The discussion will delve into the nuances of this significant change, including the skills that will be required to succeed in a professional setting, the expectations that employers may have of new hires, and the adjustments that students may need to make to their daily routines. By addressing these aspects, the session hopes to prepare students for a smooth and successful transition into their desired career paths.

Stay tuned to learn about the exciting nuances of professional life!!

It is a matter of immense pleasure for the Department of Electronics and Communication Engineering to announce the publication of Dr Duga Prakash, Associate Professor at SRM University-AP. His research paper titled “Analysis of GAA Junctionless NS FET towards Analog and RF Applications at 30 nm Regime”, published in IEEE Open Journal of Nanotechnology, studies how the device can be manufactured with ease and minimal doping, eliminating the need for high-temperature doping processes. The enhanced performance metrics suggest that the device’s potential for faster analog/RF switching circuits paves the way for more efficient analog and RF applications at the 30 nm scale.


A new nanosheet FET is used to generate a quantum model in this research. A Gate-all-around (GAA) Junction-less (JL) nanosheet device with a 1 nm gate dielectric of SiO2 and HfO2 performs according to the standard model. The visual TCAD tool examines ION, IOFF, ION/ IOFF, threshold voltage, DIBL, gain parameters (gm, gd, Av), gate capacitance, and cut-off frequency to evaluate the classical and quantum models of the GAA nanosheet device. Simulation results show that the device’s low gate capacitance of 10–18 makes it suitable for rapid switching applications. Device research reveals a transconductance (gm) value of 21 μS and a remarkable cut-off frequency of 9.03 GHz. Its P-type device response has also been extensively studied. Finally, the inverter model uses the proposed GAA nanosheet device. Despite having larger gate capacitance, the NSFET-based inverter offers the smallest propagation delay helps apply knowledge to real-world situations.

Dr Durga Prakash Research Dr Durga Prakash

Department of Liberal Arts and the Department of Media Studies, under the aegis of the Easwari School of Liberal Arts at SRM University-AP organised its 2-day International Conference on New Media and its Publics in India. This prestigious conference welcomed renowned figures, including Mr Abhinandan Sekhri, co-founder and CEO of Newslaundry; Dr Ann Feldman, Documentarian and Activist; Dr Meheli Sen, Associate Professor, Department of AMESALL, Director of Cinema Studies Program, Rutgers University; Dr Pramod K Nayar, Professor and UNESCO Chair in Vulnerability Studies, Department of English, University of Hyderabad; Dr Sambaiah Gundimeda, Associate Professor, School of Interwoven Arts and Sciences, KREA University; Mr Rahee Punyashloka, Artist and Filmmaker and Ms Anuradha Nagaraj, Independent Journalist, Faculty at School of Development, Azim Premji University.

In his inaugural address, Vice Chancellor Prof. Manoj K Arora remarked, “We are honoured to host a conference of this magnitude. Media has become an indispensable facet of our contemporary existence; invariably, we all engage with or subscribe to media in some capacity.” Keynote speaker and co-founder of Newslaundry, Mr Abhinandan Sekhri, imparted his wisdom to the attendees, emphasising, “As the fourth pillar, media plays a pivotal role in society. It is imperative that we discern and uphold the principles of authentic journalism.” Prof. Vishnupad, Dean-Easwari School of Liberal Arts, remarked,” Technology and media have become an essential aspect of our lives today, and they have drastically altered our perception of things.”

Dr Meheli Sen, Dr Ann Feldman, Dr Pramod Nayar, Dr Sambaiah Gundimeda, Mr Rahee Punyashloka, and Ms Anuradha Nagarajan all deliberated on the various possibilities and interpretations that the New media offers and thereby shapes the public narratives. The conference also comprised a series of parallel sessions that explored the multifaceted relationship between New Media and various disciplines. Topics discussed included New Media and Literature, Gender, History, Democracy and Performance. Members of the academia presented their research papers, fostering insightful discussions on the evolving landscape of New Media.

The two-day event witnessed 150+ entries from students, scholars and faculties from across the country and the world and provided a platform for intellectual exchange but also fostered a collaborative spirit among participants. The conference concluded with a plenary address by Dr Pramod Nayar, which served as a catalyst for innovative thinking in New Media. Registrar Dr R Premkumar, in his message, applauded the efforts of the convenors, Dr Asijit Dutta and co-convenors Dr Sapna Mishra and Dr Partha Bhattacharjee for organising a scholarly colloquium such as this and remarked, “the exchange of ideas, scholarly debates, and interdisciplinary discussions that transpired here will undoubtedly enrich the academic landscape and advancement in the field of new media”.


International Conference on Media and Its Publics in India

Er Lakhwant Khalsa

The Department of Civil Engineering is thrilled to host Er. Lakhwant Singh Khalsa for its 3rd Industry Guest Lecture Series. Mr Khalsa, Project Manager at Systra India, Haryana, will deliberate on “Railway Bridges and Track Structure – Practitioner Perspectives”. His lecture will offer deep insights into Railway Track Structure and Components and Railway Bridge Elements and Bridge Types. We Invite all civil engineering students and enthusiasts to join the insightful session on April 23, 2024.

About the Speaker:

Er. Lakhwant Singh Khalsa currently working as a project manager, Systra/PMC for RVNL Vijayawada 3rd line rail project. He has 41 years of rich & extensive experience in railway steel bridge structures, civil bridge works and project management. He is a Life Member of the Institution of Permanent Way Engineers (India)-IPWE and the Indian Institution of Bridge Engineers-IIBE. He holds several prestigious certifications, such as welding inspector from the welding research institute BHEL Trichy and Level II Certification in Non-Destructing Testing for DPT, MPT & UT as per SNT TC IA2006. He is familiar with IS, IRS, EN, and BS Codes, which are relevant to steel and concrete works. Also, he has experience working in hilly terrains in the Himalayan Ranges with critical environmental conditions.

Prof. Siva Sankar Yelampalli and Dr Ramesh Vaddi, Associate Professor, from the Department of Electronics and Communication Engineering, along with research scholars Mr Birudu Venu, Mr Tirumala Rao Kadiyam, and Mr Koteswara Rao Penumalli, have jointly published a paper titled “Computing in-memory reconfigurable (accurate/approximate) adder design with negative capacitance FET 6T-SRAM for energy efficient AI edge devices” The paper introduces Computing in-memory (CiM) as a promising alternative to traditional von-Neumann architectures, focusing on its potential for energy-efficient AI edge computing with CMOS scaling. Additionally, they have explored the advancements in approximate computing in-memory (ACiM) techniques, aiming to further enhance the energy efficiency of these innovative architectures.


Computing in-memory (CiM) is an alternative to von Neumann architectures for energy-efficient AI edge computing architectures with CMOS scaling. Approximate computing in-memory (ACiM) techniques have also been recently proposed to further increase the energy efficiency of such architectures. In the first part of the work, a negative capacitance FET (NCFET) based 6T-SRAM CiM accurate full adder has been proposed, designed and performance benchmarked with equivalent baseline 40 nm CMOS design. Due to the steep slope characteristics of NCFET, at an increased ferroelectric layer thickness, Tfe of 3 nm, the energy consumption of the proposed accurate NCFET-based CiM design is ∼82.48% lower in comparison to the conventional/Non CiM full adder design and ∼85.27% lower energy consumption in comparison to the equivalent baseline CMOS CiM accurate full adder design at VDD = 0.5 V. This work further proposes a reconfigurable computing in-memory NCFET 6T-SRAM full adder design (the design which can operate both in accurate and approximate modes of operation). NCFET 6T-SRAM reconfigurable full adder design in accurate mode has ∼4.19x lower energy consumption and ∼4.47x lower energy consumption in approximation mode when compared to the baseline 40 nm CMOS design at VDD = 0.5 V, making NCFET-based approximate CiM adder designs preferable for energy efficient AI edge CiM based computing architectures for DNN processing.

Future research plans: Implementing reconfigurable computing in-memory (CiM) MAC for energy-efficient AI edge devices.

Link to the article

The Department of Economics is thrilled to announce the publication of Assistant Professor Dr Ghanshyam Kumar Pandey’s research paper titled, “Bifurcation and Agricultural Development in Jharkhand,” in Economic and Political Weekly. The paper delves into the developmental trajectory of Jharkhand following its bifurcation from Bihar in 2000 and examines the intricacies of agricultural development and the key determinants that have shaped its evolution post-separation.


The cropping pattern in Jharkhand has significantly changed from 2000 to 2016, with shifts from the cultivation of cereals to non-cereals. An increase in the crop area and diversification towards high-value crops have accelerated overall agricultural growth. Capital formation and better infrastructure facilities, along with improved fertiliser consumption and irrigation, will foster agricultural development in Jharkhand

Practical implementation:

This study shows the development path of Jharkhand after bifurcation from Bihar in 2000. The study deals with the process of agricultural development and determinants of agricultural development after its bifurcation.

Link to the article