Research News

The Department of Computer Science and Engineering is proud to announce that the patent titled “A System and a Method for Assisting Visually Impaired Individuals” has been published by Dr Subhankar Ghatak and Dr Aurobindo Behera, Asst Professors, along with UG students, Mr Samah Maaheen Sayyad, Mr Chinneboena Venkat Tharun, and Ms Rishitha Chowdary Gunnam. Their patent introduces a smart solution to help visually impaired people navigate busy streets more safely. The research team uses cloud technology to turn this visual information into helpful vocal instructions that the users can hear through their mobile phones. These instructions describe things like traffic signals, crosswalks, and obstacles, making it easier for them to move around independently, making way for an inclusive society.

Abstract

This patent proposes a novel solution to ease navigation for visually impaired individuals. It integrates cloud technology, computer vision algorithms, and Deep Learning Algorithms to convert real-time visual data into vocal cues delivered through a mobile app. The system employs wearable cameras to capture visual information, processes it on the cloud, and delivers relevant auditory prompts to aid navigation, enhancing spatial awareness and safety for visually impaired users.

Practical implementation/Social implications of the research

The practical implementation of the research involves several key components.

• Developing or optimising wearable camera devices that are comfortable and subtle for visually impaired individuals. These cameras should be capable of capturing high-quality real-time visual data.
• A robust cloud infrastructure is required to process this data quickly and efficiently using advanced computer vision algorithms and deep learning algorithms.
• Design and develop a user-friendly mobile application that delivers processed visual information as vocal cues in real-time. This application should be intuitive, customisable, and accessible to visually impaired users.

The social implications of implementing this research are significant. We can greatly enhance their independence and quality of life by providing visually impaired individuals with a reliable and efficient navigation aid. Navigating city environments can be challenging and hazardous for the visually impaired, leading to increased dependency and reduced mobility. The research aims to mitigate these challenges by empowering users to navigate confidently and autonomously. This fosters a more inclusive society where individuals with visual impairments can participate actively in urban mobility, employment, and social activities.

In the future, the research cohort plans to further enhance and refine technology to better serve the needs of visually impaired individuals. This includes improving the accuracy and reliability of object recognition and scene understanding algorithms to provide more detailed and contextually relevant vocal cues. Additionally, they aim to explore novel sensor technologies and integration methods to expand the capabilities of our system, such as incorporating haptic feedback for enhanced spatial awareness. Furthermore, we intend to conduct extensive user testing and feedback sessions to iteratively improve the usability and effectiveness of our solution. This user-centric approach will ensure that our technology meets the diverse needs and preferences of visually impaired users in various real-world scenarios.

Moreover, the team is committed to collaborating with stakeholders, including advocacy groups, healthcare professionals, and technology companies, to promote the adoption and dissemination of this technology on a larger scale. By fostering partnerships and engaging with the community, they can maximise the positive impact of their research on the lives of visually impaired individuals worldwide.

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In a significant stride towards understanding cholesterol homeostasis, Dr Koyel Chakravarty, Assistant Professor and Mr Sukdeb Manna, a PhD Scholar in the Department of Mathematics has co-authored a paper titled “Unlocking Cholesterol Homeostasis: A Mathematical Modelling Perspective.” The paper has been published in the esteemed journal, The European Physical Journal Plus, with an impact factor of 3.4. This collaborative effort showcases the innovative application of mathematical modelling in unravelling the complexities of cholesterol regulation within the body.

The research not only contributes to the existing body of knowledge in this field but also sheds light on potential avenues for further exploration and understanding. Dr Chakravarty and Mr. Manna’s work underscores the importance of interdisciplinary approaches in scientific research and highlights SRM University-AP’s commitment to fostering cutting-edge research and innovation.

Their collaborative efforts serve as an inspiration to aspiring researchers and underscore the university’s dedication to pushing the boundaries of knowledge and discovery. Congratulations to Dr Chakravarty and Mr Manna on this remarkable achievement, and we look forward to more groundbreaking contributions from them in the future.

Abstract:
Limited progress in the mathematical modelling of cholesterol transport systems is hampering novel therapeutic interventions. This issue is addressed by the present study through precise design, employing four compartmental models to elucidate cholesterol dynamics in the comprehensive bloodstream. Disparities in medical advancements, particularly in cholesterol-related pathophysiology, are aimed to be bridged, advancing medical science and patient care outcomes.

Therapeutic strategies for reducing blood cholesterol are explored by the model, with parameter influences on equilibrium stability revealed through sensitivity analysis. System parameters are effectively manipulated by imposing sensitivity analysis, and pinpointing areas for model refinement. Stability analysis contributes to diverse realistic models, confirming local asymptotic stability. Model efficacy in studying cholesterol transport dynamics is supported by analytical and numerical assessments. The study concludes with the present model validation to substantiate it by comparing the present outcomes with the existing ones.

Explanation of The Research in Layperson’s Terms:

Basically, scientists are having trouble figuring out how to model how cholesterol moves around in the body, which is important for developing new treatments. This study tries to solve that problem by creating detailed models that show how cholesterol behaves in different parts of the bloodstream. The goal is to bridge the gap in medical knowledge about cholesterol-related problems and improve how we treat patients. The models help us understand how different treatments might affect cholesterol levels, and by analyzing them closely, we can figure out which factors are most important. This lets us tweak the models to make them more accurate. The study shows that the models are reliable by testing them both analytically and numerically, and comparing the results to what we already know.

Practical Implementation or the Social Implications of the Research

1. Personalized Medicine: The mathematical models developed in this research could help in designing personalized treatment plans for individuals with high cholesterol levels. By understanding how different factors affect cholesterol dynamics, doctors can tailor therapies to each patient’s specific needs, leading to more effective and targeted treatments.
2. Drug Development: Pharmaceutical companies could use these models to screen potential drugs for lowering cholesterol. By simulating how different compounds interact with cholesterol transport systems, researchers can identify promising candidates for further testing, potentially speeding up the drug development process.
3. Healthcare Cost Reduction: Better understanding of cholesterol dynamics could lead to more efficient use of healthcare resources. By optimizing treatment strategies and preventing complications related to high cholesterol, healthcare costs associated with conditions like heart disease could be reduced, benefiting both individuals and society.
4. Public Health Initiatives: Insights from the research could inform public health initiatives aimed at reducing cholesterol-related diseases. For example, policymakers could use the models to design targeted interventions such as education campaigns promoting healthy lifestyle choices or policies to improve access to cholesterol-lowering medications.
5. Improved Patient Outcomes: Ultimately, the goal of this research is to improve patient outcomes by better understanding and managing cholesterol homeostasis. By developing more accurate models of cholesterol transport dynamics, healthcare providers can make more informed decisions, leading to better control of cholesterol levels and reduced risk of cardiovascular disease and other related conditions.

Future Research Plans:

1. Current models may focus on a limited set of factors influencing cholesterol transport. Future research could explore the integration of additional biological factors such as genetic variations, hormonal influences, and dietary components into the models to create a more comprehensive understanding of cholesterol homeostasis.
2. Most existing models of cholesterol transport assume static conditions. Future research could develop dynamic models that capture the time-dependent changes in cholesterol levels in response to various stimuli, such as meals, physical activity, and medication intake. Dynamic models would provide a more accurate representation of real-world cholesterol dynamics and enable the evaluation of time-sensitive interventions.

Picture Related to the Research

Link to the article

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In an exciting development, Dr Manjula R, Assistant Professor in the Department of Computer Science and Engineering, along with B.Tech. students Mr Adi Vishnu Avula, Mr Jawad Khan, Mr Chiranjeevi Thota, and Ms Venkata Kavyanjali Munipalle, have authored a book chapter titled “Machine Learning Approach to Determine and Predict the Scattering Coefficients of Myocardium Tissue in the NIR Band for In-Vivo Communications – 6G Network in book name “Edge-Enabled 6G Networking: Foundations, Technologies, and Applications”.

This achievement highlights the innovative research and collaboration showcase the dedication and expertise of both faculty and students in the field of computer science and engineering. The book chapter explores the cutting-edge advancements in 6G networking and its potential applications, shedding light on the future of communication technologies.

We congratulate Dr Manjula R and the team of talented students on this significant accomplishment and look forward to seeing more groundbreaking research from them in the future. Stay tuned for more updates on their work and achievements.

Abstract

The accurate calculation of the scattering coefficient of biological tissues (myocardium) is critical for estimating the path losses in prospective 6-G in-vivo Wireless Nano sensor networks (i-WNSN). This research explores machine learning’s potential to promote non-invasive procedures and improve in-vivo diagnostic system’s accuracy while determining myocardium’s scattering properties in the Near Infrared (NIR) frequency. We begin by presenting the theoretical model used to estimate and calculate scattering coefficients in the NIR region of the EM spectrum. We then provide numerical simulation results using the scattering coefficient model, followed by machine learning models such as Linear Regression, Polynomial Regression, Gradient Boost and ANN (Artificial Neural Network) to estimate the scattering coefficients in the wavelength range 600-900 nm.

We next contrast the values provided by the analytical model with those predicted via machine learning models. In addition, we also investigate the potential of machine learning models in producing new data sets using data expansion techniques to forecast the scattering coefficient values of the unavailable data sets. Our inference is that machine learning models are able to estimate the scattering coefficients with very high accuracy with gradient boosting performing better than other three models. However, when it comes to the prediction of the extrapolated data, ANN is performing better than other three models.

Keywords: 6G, In-vivo, Dielectric Constant, Nano Networks, Scattering Coefficient, Machine Learning.

Significance of Book Chapter

The human heart is a vital organ of the cardiovascular system and is very crucial for any living being. However, this organ is prone to several diseases—Cardiovascular Disease (CVD)—an umbrella term. CVDs are the set of the heart diseases that comprises heart attack, cardiac arrest, arrhythmias, cardiomyopathy, atherosclerosis to name a few. CVD alone account for most of the deaths across the globe and is estimated reach 23.3 million deaths due to CVD by 2030. Early detection and diagnosis of CVD is the ultimate solution to mitigate these death rates. Current diagnostic tests include, however not the exhaustive list, ECG, blood test, cardiac x-ray, angiogram.

The limitations of these techniques include bulkiness of the equipment, cost, tests are suggested only when things are in critical stage. To alleviate these issues, we are now blessed with on-body or wearable devices such as smart watches that collect timely information about the cardiac health parameters and notify the user in a real-time. However, these smart watches do not have the capability to directly detect the presence of plaque in the arteries that leads to atherosclerosis. These devices have the capability to track certain health parameters such as heart rate, blood pressure, other activity levels, any deviation in the measured values of these parameters from the normal values might give an indication of cardiac health issues. This requires a formal diagnostics test such as cardiac catheterization or cardiac x-ray leading to the original problem.

Therefore, in this work we aim to mitigate these issues by proposing the usage of prospective medical grade nanorobots—called nanosurgeons, that can provide real-time live information on the health condition of the internal body. Particularly, our work assumes that these tiny nanobots are injected into the cardiovascular system that keep circulating along with the blood to gather health information. Such nanosized robots are typically expected to work in the terahertz band owing to their size. At such high frequency, the terahertz signals are prone to high path losses due to spreading, absorption and scattering of the signal during propagation. Our work aims at understanding these losses, especially the scattering losses, of the terahertz signal in the NIR band (600-900 nm) using the existing models, analytically. Further, to understand the strength of machine learning in predicting these scattering losses, we also carryout simulation work to estimate and predict the scattering losses using Linear Regression, Polynomial Regression, Gradient Boost and Artificial Neural Network (ANN) models.

Our preliminary investigation suggests scattering losses are minimal in NIR band and machine learning can be seen as a potential candidate for perdiction of scattering losses using the available experimental data as well as using data augmentation techniques to predict the scattering losses at those frequencies for which either experimental data is not available or can prevent the use of costly equipment to determine these parameters.

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Yet another groundbreaking achievement for the researchers at SRM University-AP! Prof. Ranjit Thapa, Dean-Research and Professor, Department of Physics, Prof. G S Vinod Kumar, Professor and Head, Department of Mechanical Engineering and Ms Harsha K, PhD scholar, continue to make their mark in the university’s excellent research legacy by having their patent “Tarnish Resistant Silver Composition and a Process for its Preparation” being granted by the Indian Patent Office. This innovative research team has used density functional theory to explain the tarnishing of silver. Their work also focuses on finding alloying elements that protect silver.

Abstract

The research is on the development of tarnish-resistant silver alloys from an experimental and computational perspective. With time, silver atoms on the surface of the metal undergo sulphidation and form Ag2S molecules. These particles will accumulate to form a layer whose thickness goes beyond 10nm, and then the human eye will start to find a discolouration on the surface of silver, which is tarnish. The stain colour changes from light yellow to dark brown. This reduces the lustre of silver and makes them aesthetically non-pleasing. The silver jewellery and articles manufacturing industry suffers from this tarnishing as it leads to the loss of material and money and ruins intricate designs made of silver. The research study attempts the problem by alloying silver with appropriate elements, which are computationally checked and verified. The team works with alloying elements such as Cu, Zn, Ge, Ti, Zr, Mg, Al, and Be. Along with tarnish resistance, the proposed alloys maintain high reflectance, good hardness, and excellent workability when spinning.

Practical implementation/social implications of the research

• Stainless silver is in demand as customers want their precious metal articles to be kept for a longer time as heirlooms. So, the product that we could develop out of our composition will be making more demand for silver.
• It can increase the market potential of silver.
• It can lead to more innovations in the jewellery industry.

Collaborations

• Waman Hari Pethe
• Ashlyn Chemmannur
• TITAN

The team would continue to work on the scope of research to develop more tarnish-resistant compositions, improve the tensile strength, scratch resistance, surface hardness, and workability of silver alloys and find novel elements which can add to desirable properties of silver.

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The Department of Electrical and Electronics Engineering is glad to announce that the paper titled “A Comparative Analysis of Non-Isolated Bi-directional Converters for Energy Storage Applications”, authored by Dr Tarkeshwar Mahto, Dr Somesh Vinayak Tewari, Dr Ramanjaneya Reddy, Assistant Professors and Ms K Mounika Nagabushanam, PhD Scholar has been published in the IOPs Engineering Research Express having an impact factor of 1.7. The paper explores various non-isolated bi-directional DC-DC converter topologies for renewable energy systems, providing insights into their performance and suitability for different applications.

Abstract

Bi-directional DC-DC converters (BDC) are required for power flow regulation between storage devices and DC buses in renewable energy-based distributed generation systems. The fundamental requirements of the BDC are simple structure, reduced switching components, a wide range of voltage gain, low voltage stress, high efficiency, and reduced size. There are different BDC topologies for various applications based on the requirements in the literature. Various BDCs are categorised according to their impedance networks. Isolated BDC converters are large due to high-frequency transformers and hence used for static energy storage applications whereas non-isolated BDC is lightweight and suitable for dynamic applications like electric vehicles. This paper reviews types of non-isolated BDC topologies. The performance of five non-isolated BDC converters under steady-state conditions is evaluated using theoretical analysis. On this basis, the suitability of BDC for different applications is discussed. Further advantages and limitations of converters are discussed by using comparative analysis. The optimisation of BDC for distributed generation systems from the perspectives of wide voltage gain, low electromagnetic interference, and low cost with higher efficiency is identified. Theoretical analysis of the converters is validated by simulating 200W converters in MATLAB Simulink.

The main challenges with energy storage systems are frequent failures due to frequent charging and discharging and the volume of the power converter. The team plans to:

• To design a converter with fewer components, low switching stresses, high power transfer capability, and higher efficiency to deliver continuous current to the energy storage system.
• To work on various control techniques to keep the DC link voltage of the propulsion system constant.

Link to the article

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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

Abstract:

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

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The water crisis in India, especially in the coastal regions, has worsened alarmingly, coercing environmentalists and researchers to critically study the reason behind this phenomenon. The Sundarbans region faces a scarcity of drinking water in terms of quality and quantity due to various reasons. Dr Kousik Das, Asst. Professor, Department of Environmental Science and Engineering, Dr Harish Puppala, Asst Professor, Department of Civil Engineering and Mr Mijanur Mondal, Research Scholar from the Department of Environmental Science and Engineering has conducted a groundbreaking study on the increased salinization of water due to human activities. The research trio has published a paper titled “Understanding the susceptibility of groundwater of Sundarbans with hydroclimatic variability and anthropogenic influences” in the prestigious Q1 journal Groundwater for Sustainable Development, which has an impact factor of 5.9, critically analysing the numerous factors that affect the quality of drinking water in the Sundarbans region.

Abstract

Coastal aquifers worldwide are experiencing increased salinisation due to climate change and human activities. Sundarbans, in India, is one such area where this phenomenon is noticed at an unprecedented rate, making drinking water unpotable for consumption. Existing studies lack a comprehensive analysis of the underlying causes. This study conducts a systematic literature review to identify drivers of groundwater salinisation, examining climate change parameters such as rainfall patterns, sea level rise, El Niño-Southern Oscillation, and tropical cyclones. Significant groundwater level declines from 1996 to 2017 are primarily attributed to variations in the Indian Ocean Dipole and El Niño Southern Oscillation, affecting rainfall and recharge rates. During tropical cyclones, groundwater levels rise rapidly, and quality is sensitive to El Niño Southern Oscillation. Rising sea levels, changing rainfall, and increasing population density worsen salinisation. Shallow aquifers have high salinity, whereas deep aquifers exceed permissible limits. This underscores the urgent need to address drinking water scarcity and potential migration resulting from complex interactions between climate, population, and groundwater management.

Social Implications of the Research

• Water Quality Monitoring: Implementing regular monitoring of salinity levels in groundwater to ensure compliance with safety standards.
• Community Awareness Programmes: Conducting educational campaigns to inform local communities about the risks of high salinity levels in drinking water and promoting the judicious use of water sources so that unscientific abstraction can be reduced.
• Policy Development: Formulating policies at the local and national levels to regulate salinity levels in drinking water and ensure public health protection.
• Infrastructure Improvement: Investing in water treatment facilities or technologies to remove high salt levels from groundwater sources. Alternative sources and rainwater harvesting can be taken into consideration.

Collaborations – IIT Kharagpur, India

The research team plans to work on Groundwater vulnerability modelling using AI/ML in Sundarbans, India next. The team has begun collecting primary data using questionnaire surveys and interviews to throw light on socio-economic conditions and to understand the core reasons for the water crisis and health and psychological issues due to water unavailability, especially during extreme events like cyclones.

Link to the article

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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.

Abstract

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

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The Department of Chemistry is thrilled to announce the paper “Mechanochemically-induced glass formation from two-dimensional hybrid organic-inorganic perovskites”, published by Dr Chinmoy Das, Assistant Professor in the reputed Q1 Journal Chemical Science with an 8.4 Impact Factor. This groundbreaking research introduces a novel method for transforming crystalline phases into glasses through mechanochemical processes. This environmentally friendly and efficient method opens new doors for manufacturing glasses, revolutionising traditional processes. This remarkable research celebrates this extraordinary blend of chemistry, physics, and innovation!

Abstract

The first mechanochemically-induced hybrid organic-inorganic perovskites (HOIPs) crystal-to-glass transformation was reported as a quick, environmentally friendly, and productive method of making glasses. Within ten minutes of mechanical ball milling, the crystalline phase transformed into the amorphous phase, demonstrating glass transition behaviour as shown by thermal analysis methods. The microstructural evolution of amorphization was studied using time-resolved in situ ball-milling with synchrotron powder diffraction. The results indicated that energy may accumulate as crystal defects because the crystallite size reaches a comminution limit before the amorphization process is finished. The limited short-range order of amorphous HOIPs was discovered through total scattering experiments, and photoluminescence (PL) and ultraviolet-visible (UV-vis) spectroscopy were used to examine their optical characteristics.

Explanation of the research in layperson’s terms

Crystalline inorganic perovskites (general chemical formula is ABX3, where A and B are cations, and X is anion) are generally known for their unique optoelectronic applications, such as solar cells, photodetectors, and LEDs (light emitting diodes). In this research, Dr Das revealed hybrid materials comprised of organic linkers and inorganic nodes, which constitute hybrid organic-inorganic perovskites (HOIPs). The research demonstrated a rapid and environment-friendly (mechanochemically ball milling assisted) synthetic approach to transform the crystalline phase to its non-crystalline/amorphous phase. Interestingly, the amorphous phase of HOIPs showed temperature-dependent glass transition temperature (Tg) at very low temperatures, ~50 C. The structure of the HOIP glasses has been characterised through total-X-ray diffraction studies and pair-distribution functions. The crystalline and glassy HOIPs showed optical properties, which were studied by photoluminescence (PL) and ultraviolet-visible (UV-vis) spectroscopy.

Practical implementation/ social implications of your research

Through the mechanochemical approach, we prepared novel hybrid organic-inorganic perovskite (HOIP) glasses within ten minutes, showing the greater feasibility of processing the glass material for industrial implication. On the other hand, we also demonstrated that the HOIP glasses showed photoluminescence properties, which would enable us to fabricate the device for solar cells, photodetectors, LEDs and many more.

Collaborations

• Department of Materials Science and Metallurgy, University of Cambridge, United Kingdom.

The Department of Chemistry has established a research group at SRM University-AP, and the group has started to explore an emergent research area of crystal-glass composite materials towards the applications of atmospheric water harvesting, solid-state electrolytes, photovoltaics, and conversion of gaseous Carbon-dioxide molecules to industrially relevant liquids, such as methanol or ethanol.

Any interested candidate can reach out to Dr Chinmoy for exciting projects.

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Green Pearl Education and Management Corporation (GPEMC) has recently sanctioned a significant consultancy project to SRM University-AP, titled “Multilingual Minutes of the Meeting Generation.” This project aims to develop innovative solutions for generating multilingual minutes of meetings, ensuring effective communication, and understanding across language barriers.

The Consultancy Project has been assigned to Dr. Ashu Abdul and Dr. Dinesh Reddy Vemula, Assistant Professors for a period of 7 months from the Department of Computer Science and Engineering (CSE). Their expertise in language processing and computational linguistics will play a crucial role in the successful execution of this project.

Joining them in this endeavour is Mr Phanindra Kumar, a dedicated PhD scholar, and a team of talented B.Tech. students, including Mr Shivansh Goel, Mr Md Ahmad Raza Khan, Ms Subrabala Dash, Mr Nithish Sri Ram, Mr Hadi Mahmood, and Mr Phanidra Kumar. Their combined skills and enthusiasm will contribute to the development of innovative solutions for multilingual meeting documentation.

The Consultancy Project has been sanctioned with an outlay of Rs 48,91,786/- as consultancy charges for a period of 7 months. This funding will support the research and development efforts required to deliver efficient and accurate multilingual minutes of meetings.

The objective of this project is to create an automated system that can generate minutes of meetings in multiple languages, ensuring accurate and comprehensive documentation. By overcoming language barriers, this project aims to facilitate effective communication and collaboration in diverse organizational settings.

The collaboration between SRM University-AP and GPEMC highlights the commitment of both institutions to research and innovation. This consultancy project presents an exciting opportunity for the faculty members and students to contribute to real-world problem-solving and make a substantial impact in the field of language processing.

Abstract

The project ‘Multilingual Minutes of the Meeting Generation’ aims to develop an innovative application that automates the creation of meeting minutes, action plans, and summaries in multiple languages. Leveraging advanced research in natural language processing and speech recognition technologies, our application seeks to streamline the tedious and time-consuming task of minute-taking. It will do so by accurately identifying, associating, and documenting statements with their respective speakers during meetings using speech diarization techniques.

The primary objective is to enhance the efficiency and accuracy of meeting minutes while supporting diverse linguistic needs and eliminating human error, thereby catering to global business environments. The system will improve the meeting outcomes for all participants by identifying the action items from the meeting. This project intends to deliver an effective solution for enterprises by combining the latest technological advances with a user-centric design.

Explanation of the Research in Layperson’s Terms

The project called “Multilingual Minutes of the Meeting Generation” is about creating a new tool that automatically writes down what happens in meetings—like the minutes, action items, and summaries—and can do this in several languages. This tool uses the latest technology in understanding and processing human speech, which helps make the task of recording meeting details much faster and easier.

The special feature of this tool is its ability to figure out who is speaking and accurately attach their words to them in the meeting notes. This makes sure the meeting records are both correct and detailed. The main goal here is to make creating and keeping track of meeting records more efficient and accurate, help people who speak different languages, and reduce mistakes that can happen when humans take down notes.

This system is especially useful in today’s global business setting, where people from different parts of the world need to work together smoothly. It aims to lessen the work involved in manually writing meeting notes and make the results easier for everyone to use and understand. Overall, the project promises to blend cutting-edge technology with designs that focus on the needs of the users to provide a practical tool for businesses.

Practical Implementation or the Social Implications Associated with the Research

The practical implementation of this project is particularly beneficial for enterprises, institutions, and professional settings where meetings are frequent. By automating minute-taking, it allows participants to focus more on discussion and decision-making, rather than note-taking. This leads to more productive meetings and ensures that important details are not lost or misinterpreted. Ultimately, this technology enhances communication and documentation accuracy across diverse linguistic and cultural landscapes in business and professional environments.

Collaborations

This project is being developed in collaboration with the members of the Next Tech Lab AP at SRM University-AP

Future Research Plans

The future plans for this project involve integrating the application with widely used platforms such as Zoom, Google Meet, and others that support video/audio conferencing. This integration aims to seamlessly incorporate the automated minute-taking functionality into these platforms, enhancing accessibility and usability for users across various companies and institutions. By expanding compatibility with popular conferencing tools, the project seeks to further streamline meeting documentation processes and cater to a broader user base in diverse professional settings.

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