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- Dr Soni Wadhwa Publishes Paper on Digital Libraries for Minor Languages in India July 18, 2024
In a significant academic achievement, Dr Soni Wadhwa, Assistant Professor in the Department of Literature and Languages, has recently published a paper titled “Digital Libraries for Minor Languages in India: Frameworks for Addressing Absences in Policy and Governance.” The paper was published in the esteemed Journal Digital Library Perspectives. Dr Wadhwa’s research illuminates the importance of establishing digital libraries for minor languages in India and proposes frameworks to address existing gaps in policy and governance. This pioneering work not only explores the significance of preserving linguistic diversity but also advocates for inclusive and accessible digital resources for all.The publication of this paper not only adds to Dr Wadhwa’s scholarly contributions but also highlights the commitment of SRM University-AP faculty members to engaging in research that can have a positive impact on society.
Abstract
This study aims to deliberate on strategies for enlisting community support for gathering diverse learning resources in different languages and for enlisting participation in activities such as crowdsourcing in initiatives such as annotations and transliteration. This paper calls for interventions that imagine and create infrastructure for the flourishing of smaller libraries that can draw from and feed into large-scale national and international libraries. Offering a conceptual framework to rethink the country’s approach toward minor languages, it first offers an overview of policies and initiatives relevant to the concerns of minor languages in digital libraries in India. Based on the policy analysis, it then goes on to suggest starting points for policy designers and custodians of libraries to help them work toward better representation of languages in their resources.The existing frameworks analyzed here for the greater or representation of minor Indian languages reveal a culture of silence toward the issue of language. With some advocacy, these frameworks can be mined to craft different ways that are critical not just for enriching libraries but also for preservation of cultural heritage of the communities concerned, thus adding a larger social dimension to the question of access.
Explanation of the Research in Layperson’s terms
Given that Indian languages in general are under-represented on the internet and that languages of minority linguistic groups find very little space on digital platforms, it is imperative for institutions such as libraries to cater to smaller communities and their educational needs while also reaching out to them in their own languages. While a lot of socio-political discourse on minority languages in India exists, this study pushes for their bearing on digital libraries, educational frameworks and cultural heritage. It offers five suggestions for strengthening the presence of minor languages in digital libraries in India.Details in citation format
Wadhwa, S. (2024), “Digital libraries for minor languages in India: frameworks for addressing absences in policy and governance”, Digital Library Perspectives, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/DLP-01-2024-0002Practical Implications
This viewpoint paper can be used to enhance policy and governance around libraries. With National Education Policy 2020, which emphasises the importance of learning in regional/mother/Indian languages, Indian educational system as well as social institutions need stronger platforms to make resources in Indian languages available to students as well as lifelong learners. With more of such research, it will be possible to come up better digital infrastructure for Indian languages.Social Implications
Indian languages are not widely represented on the Internet and in the knowledge set up. Making existing resources and knowledge available in digital libraries will stimulate further research on generating further research and knowledge production in Indian languages. It is hoped that more research in the domain of Indian languages works towards the digital divide and knowledge divide in India.Collaborations
This research came out of the researcher’s previous archival work. Her digital archive PG Sindhi Library is dedicated to post-partition Sindhi writing in India. This article is based on an invited talk delivered at the international symposium titled “Digital Libraries: Sustainable Development in Education” held at IIT Kharagpur in India in November 2023. The author is grateful to the organisers and fellow participants for their feedback.Future Research Plans
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The researcher is involved in a sanctioned project titled “Sindhi Sanchaya: Building a Comprehensive and Interactive Database of a Partitioned Literature” funded by IIT Indore. She hopes to build on this work produced in this article as she makes progress in the project. - Groundbreaking Paper Offers Geo-Temporal Visualisation of COVID-19 Spread in India July 18, 2024
In an exciting development, Dr Anirban Ghosh, Dr Anuj Deshpande, and Dr Sibendu Samanta, Assistant Professors from the Department of Electronics and Communication Engineering, have recently achieved a significant milestone with the publication of their paper titled “An Indigenous Computational Platform for Nowcasting and Forecasting Non-Linear Spread of COVID-19 across the Indian Sub-continent: A Geo-Temporal Visualization of Data” in the esteemed journal, Procedia Computer Science.The paper focuses on the development of a state-of-the-art computational platform specifically tailored for nowcasting and forecasting the non-linear spread of COVID-19 across the Indian sub-continent. This pioneering work promises to offer valuable insights into the geo-temporal visualisation of data related to the COVID-19 pandemic, with potential implications for public health interventions and policy decisions.
The publication of this paper serves as a testament to the innovative research being conducted by the faculty members at the Department of Electronics and Communication Engineering. Their dedication and expertise in the field have not only contributed to advancing scientific knowledge but also hold considerable promise for making a real-world impact in the ongoing fight against the COVID-19 pandemic. We extend our congratulations to Dr Anirban Ghosh, Dr Anuj Deshpande, and Dr Sibendu Samanta for this remarkable accomplishment and look forward to witnessing the continued impact of their research in addressing critical challenges facing the world today.
Abstract
The rapid spread of the COVID-19 pandemic necessitated unprecedented collective action against coronavirus disease. In this light,we are proposing a novel online platform for the visualisation of epidemiological data incorporating social determinants for understanding the patterns associated with the spread of COVID- 19. The current AI computational platform combines modelling methodologies along with temporal, geospatial visualisation of COVID-19 data, providing real-time sharing of graphic analytical simulation of vulnerable hotspots of recurrent (nowcasting) and emergent (forecasting) infections visualised on a spatiotemporal scale on geoportals. The proposed study will be a secondary data analysis of primary data accessed from the national portal (Indian Council of Medical Research (ICMR)) incorporating 766 districts in India. Epidemiological data related to spatiotemporal visualisation of the demographic spread of COVID-19 will be displayed using a compartmental socio-epidemiological model, reproduction number R, epi-curve diagrams, as well as choropleth maps for different levels of administrative and development units at the district levels.
Explanation of the Research in Layperson’s Terms
The rapid spread of COVID-19 required quick and coordinated action. To aid the process, we have created a new online platform to help visualise COVID-19 data, including social factors that affect its spread. Our platform uses advanced computer models and shows COVID-19 data over time and across locations. It allows real-time sharing of visual analyses, highlighting areas at risk for current and future infections. The effectiveness of the platform lies in the fact that it is not limited to COVID-19. It can be suitably modified and employed for capturing similar trends for any future pandemic.
Title of the Research in the Citation Format
Priya Ranjan, Dhruva Nandi, Karuna Nidhi Kaur, Rohan Rajiv, Kumar Dron Shrivastav, Anirban Ghosh, Anuj Deshpande, Sibendu Samanta, Rajiv Janardhanan, “An Indigenous Computational Platform for Nowcasting and Forecasting Non-Linear Spread of COVID-19 across the Indian Sub-continent: A Geo-Temporal Visualization of Data”, Procedia Computer Science, Volume 235, 2024, Pages 496-505, ISSN 1877-0509,
https://doi.org/10.1016/j.procs.2024.04.049Practical Implementation and Social Implications Associated
As mentioned earlier, the platform can be used to present real-time data analysis and identify emerging and current hotspots of the COVID-19 pandemic. However, the beauty or robustness of the platform lies in the fact that it can be suitably adapted for similar analysis for any future pandemic with minimum effort.
Collaborations
- University of Petroleum and Energy Studies, Energy Acres, Dehradun, Uttarakhand, India
- SRM Medical College Hospital and Research Centre, SRMIST, Kattankulathur, Tamil Nadu, 603203, India
- Amity Institute of Public Health, Amity University, Noida, Uttar Pradesh, 201303, India
Future Research Plans
The future plan includes improving the visual and graphical presentation of the platform to provide more insightful and intuitive information. Aggregation of data from other international databases would further augment the effectiveness of the platform by not limiting it to only the national scenario.
Continue reading → - Dr Sanjay Kumar and Team Publish Digital Image Security Invention in the Patent Office Journal July 11, 2024
In a recent development, Dr Sanjay Kumar, Assistant Professor in the Department of Computer Science and Engineering, along with a team comprising N Ujwala, J Yashwanth Sri Ram, J Lakshmi Prasanna Kumar, and K Heman Rai Choudhary, have successfully filed and published an innovative invention in the Patent Office Journal titled “SYSTEM AND METHOD FOR DISCRETE WAVELET TRANSFORM (DWT)-BASED SECURE IMAGE WATERMARKING” with the application number “202441045387”.This invention holds great promise in the field of digital image security and watermarking. The patented system and method are based on the discrete wavelet transform (DWT), a widely used signal processing technique, to embed secure watermarks into digital images. The application of DWT ensures that the watermarking process is robust and secure, making it suitable for a wide range of applications where image integrity and authenticity need to be ensured.
Dr Sanjay Kumar’s expertise as an Assistant Professor, coupled with the team’s skills and dedication, has resulted in the successful development and patenting of this cutting-edge technology. The “SYSTEM AND METHOD FOR DISCRETE WAVELET TRANSFORM (DWT)-BASED SECURE IMAGE WATERMARKING” promises to be a significant addition to the field of digital image security and watermarking, offering enhanced protection against unauthorised tampering and misuse of digital images. It is expected that this invention will garner attention from industry professionals, researchers, and policymakers, paving the way for its integration into diverse digital imaging systems.
Abstract
Our research introduces a robust image watermarking technique that combines Discrete Wavelet Transform (DWT) and chaotic map-based encryption. The method analyzes high-frequency sub-bands derived from DWT applied to the blue channel of an RGB image, selecting the block with the highest energy for embedding a grayscale watermark encrypted with the Henon Map. The alpha blending technique is used to integrate the encrypted watermark, ensuring both imperceptibility and robustness. The method achieves an average PSNR of 43.7211 dB and SSIM of 0.9950. The watermark can be extracted by analyzing patterns in the high-frequency component, even after various attacks, using inverse DWT and Henon Map for decryption.
Explanation of the Patent in Layperson’s Terms
Our research focuses on protecting digital images by embedding a hidden watermark that is hard to remove. We use a mathematical method called the Discrete Wavelet Transform (DWT) to break down an image into different parts and find the best place to hide the watermark. The watermark is further secured by encrypting it with a technique called the Henon Map. Our method ensures that the watermark remains invisible to the naked eye while being resistant to tampering. This means the watermark can be detected and recovered even if the image is altered.Practical Implementation and the Social Implications
The primary application of our research is in protecting the ownership and integrity of digital images. This technique can be used by photographers, artists, and digital content creators to ensure their work is not copied or altered without permission. By embedding a secure, invisible watermark, they can prove ownership and detect unauthorised use. Additionally, this method can be applied in sensitive fields such as medical imaging and legal documents where tamper detection is crucial.
Collaborations
This research was conducted by the Visual Information Processing Lab at the Department of Computer Science and Engineering, SRM University AP, Guntur, India. The team comprised Nadella Ujwala, Sanjay Kumar, Jayyavarapu Yaswanth Sri Ram, Jetti Lakshmi Prasanna Kumar, and Katragadda Heman Rai Choudhary.
Future Research Plans
Our future research will focus on enhancing the watermarking technique’s robustness against more sophisticated attacks, exploring real-time applications in video watermarking, and developing methods to embed multiple watermarks in a single image. We also aim to reduce the computational complexity to make the algorithm more efficient for practical applications.
Continue reading → - Research to Revenue: 3-day Workshop Concludes July 9, 2024
The Office of the Dean-Research and IPR Cell at SRM University-AP hosted a highly impactful 3-day Workshop on “Research Commercialisation.” The workshop was graced by industry expert Mr Rakesh Sharma, a leading figure in business restructuring and global marketing. Mr Sharma with his notable experience of 38 years at Philips, imparted valuable insights on innovation, venture development, and commercialisation.The workshop was attended by faculty and research scholars, all keen on understanding the intricacies of research commercialisation. The inaugural ceremony of the workshop was highlighted by the felicitation of Mr Sharma by the Vice Chancellor, Prof. Manoj K Arora, along with Prof. Ranjit Thapa, Dean—Research; Deans of the three schools; Prof. G S Vinodkumar, Coordinator—IPR Cell & Convenor of this workshop; and other senior faculty members.
In his address, Prof. Manoj K Arora underscored the critical role of research, he urged the attendees to “think differently and change your mindset to unlock the boundless potential of your research and innovation.” He engaged with faculty and research scholars, seeking their perspectives. Prof. Ranjith Thapa, the Dean of Research, presented an overview of the varsity’s research capabilities, spotlighting its achievements in Q1 publications and patents across different departments.
Day 1– The workshop kicked off with Mr Sharma encouraging participants to voice their queries and concerns about commercialisation. Key discussion points covered included linking university research with practical applications, the transformation of patents and research into industry-ready products, understanding market needs, fundraising for research projects, and leveraging humanities and liberal arts in patent implementation. Mr Sharma engaged with each of the queries and closely explained to the students with simple and easy-to-understand examples, thereby making the session worthwhile and interesting.
Day 2—Scholars had the opportunity to present their published and granted patents. They received constructive feedback from faculty and Mr Sharma and understood how these patents could be further developed for commercialisation, thereby leading to fruitful discussions on improving and materialising these ideas.
Day 3– A significant outcome of the workshop was the proposal to establish a new centre for research commercialisation designed to offer students an in-house pathway to commercialise their patents. This initiative received widespread acclaim from all participants and sparked engaging discussions about transforming research into viable business ventures, facilitated by the session by the Director of Entrepreneurship and Innovation, Mr Sidharth Shankar Tripathy.
The workshop offered a crucial platform for students, offering both inspiration and guidance in their pursuit of entrepreneurship. The event was specifically designed for all PhD Scholars who are currently working on their research papers and looking for ways to commercialise their innovative ideas, projects, or inventions.
Through a series of expert-led sessions, interactive discussions, and networking opportunities, students were encouraged to think critically about their project’s potential impact, market readiness, and the pathways to achieving sustainable business growth.
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- MOU with ASPIRE BioNEST, UoH for Augmenting Innovation and Incubation July 8, 2024
SRM University-AP signs an MOU with the Association for Scientific Pursuits in Innovative Research BioNEST (ASPIRE BioNEST) of the University of Hyderabad, facilitating a dynamic transformation in the innovation and entrepreneurial ecosystem of the institute. Prof. S Rajagopal, Director ASPIRE BioNEST and Dr R Premkumar, Registrar, SRM University-AP signed the MOU in the presence of Dr Anil Kondreddy, COO, ASPIRE BioNEST, Prof. Jayaseelan Murugaiyan, Associate Dean-Sciences, SRM University-AP and Dr Pitchaiah Cherukuri, Assistant Professor, SRM University-AP.
The agreement will ensure guidance and support from ASPIRE BioNEST in establishing, operating and maintaining the best innovation and incubation practices at the SRM AP incubation centres. ASPIRE BioNEST will also provide support in selection of incubates/start-ups, finalising facilities/designs, procurement of instruments and help in formulating guidelines and policies for operating incubation centres at the university.
The MOU is a significant milestone for the young innovators and venturers at SRM AP as ASPIRE BioNEST will furnish internship opportunities with incubatees and startups at ASPIRE, mentor support for startups, collaboration in applying for grant proposals and raising funds, and training and skill development programmes.
Vice Chancellor, Prof. Manoj K Arora expressed his ardour on the collaboration. He stated that “ASPIRE BioNEST is one of the Best Bio-incubator where most of the innovative research is translated into technologies. As an institute that prioritise innovation and entrepreneurship, this MOU will stimulate and enrich SRM University-AP’s entrepreneurial culture, helping us to become one of the preferred incubation and innovation centres in Andhra Pradesh.”
ASPIRE BioNEST of the University of Hyderabad is a deep-tech life sciences incubator established in 2018 with the support of BIRAC, Government of India and ASPIRE, a section 8 non-profit company established by University of Hyderabad. One of the key objectives of ASPIRE BioNEST is to provide support and guidance, including technological, professional and collaborative inputs to help other incubation centres raise their entrepreneurial culture. With the agreement, both SRM University-AP and ASPIRE BioNEST have undertaken to synergistically support each other in the larger interest of innovation and entrepreneurship.
Continue reading → - CSE Academic Innovators File Patent for AI-Powered Refrigeration System July 8, 2024
In a significant development for the field of artificial intelligence and sustainable technologies, Dr Subhankar Ghatak, Dr Aurobindo Behera, Assistant Professor, and Ms Samah Maaheen Sayyad, an undergraduate student from the Department of Computer Science and Engineering, have collectively filed a patent for an “Artificial Intelligence (AI) Enabled Refrigeration System.” The patent, bearing the Application Number 202441036548, has been officially published in the Patent Office Journal, marking a milestone in their academic and research careers.
This innovative refrigeration system promises to enhance efficiency and reduce energy consumption, potentially revolutionising the way we preserve food and other perishables. The team’s dedication to integrating AI into practical applications is a testament to their commitment to advancing technology for the betterment of society. The academic community and industry experts alike are eagerly anticipating further details on the implementation and impact of this patented technology.Abstract
The invention is an advanced smart and AI-enabled refrigerator that seamlessly integrates device and software components. Key features include automatic quantity detection, a reminder system, a spoiler alert system, an inbuilt voice system, an inbuilt barcode scanner, an emotion detection system, and a personalised recipe recommendation system based on user preferences, weather conditions, season, location, and precise quantity measurements.Research in Layperson’s Terms
The invention represents a groundbreaking improvement in traditional refrigerators, providing a new and enriched user experience through AI integration. It addresses food management, user interaction, and personalised recipe recommendations, incorporating user preferences, weather considerations, seasonal variations, location-specific nuances, and accurate quantity measurements.Practical implementation and the social implications associated with it
The practical implementation of the “AN ARTIFICIAL INTELLIGENCE (AI) ENABLED REFRIGERATION SYSTEM ” involves the seamless integration of advanced hardware and sophisticated AI algorithms to create an intelligent and user-friendly refrigerator. The following steps outline the practical implementation:
Hardware Integration:
Sensors: Install advanced sensors, including thermistors for temperature, humidity sensors, barcode scanners, ultrasonic quantity measurement sensors, cameras, spoilage identification sensors, level sensors, defrost sensors, and weight sensors within the refrigerator compartments.
Voice and Emotion Detection Modules: Incorporate a microphone and speaker system for voice interaction and integrate cameras and emotion analysis algorithms for facial recognition and emotion detection.
Connectivity Components: Equip the refrigerator with Wi-Fi or Bluetooth modules to enable seamless data transfer and communication with other smart devices.
Processor and Memory: Utilize a powerful processor and ample memory to support AI algorithms, data processing, and smooth operation.
Display Panel: Implement an LED or touchscreen display for user interaction, providing real-time information and control over the refrigerator’s functionalities.Software Development:
AI Algorithms: Develop and integrate AI algorithms for automatic quantity detection using computer vision, sentiment analysis for emotion detection, and collaborative filtering for personalised recipe recommendations.
Natural Language Processing (NLP): Implement NLP algorithms to enable the inbuilt voice system to understand and respond to user commands effectively.
Image Recognition Software: Utilize image recognition software to accurately read barcodes and analyse visual data from the integrated cameras.
Connectivity Software: Develop software protocols to ensure reliable wireless communication between the refrigerator and other devices or cloud services.
User Interface Software: Design a user-friendly interface for the display panel, allowing users to interact with and manage refrigerator contents easily.Social Implications:
The “AI Enabled Refrigeration System” invention has several profound social implications:1. Reduction in Food Wastage: The automatic quantity detection, reminder system, and spoilage alert system significantly reduce food wastage by ensuring that users are alerted about unused items and potential spoilage. This contributes to more efficient food management and a reduction in household food waste, addressing a critical global issue.
2. Enhanced Food Safety and Health: By providing real-time alerts about food spoilage and precise quantity measurements, the invention ensures that users consume fresh and safe food. This minimizes health risks associated with consuming spoiled food and promotes overall well-being.
3. Personalized Dietary Support: The personalized recipe recommendation system caters to individual dietary preferences and requirements, promoting healthier eating habits. By suggesting recipes based on user preferences, weather conditions, seasonality, and location, the system encourages balanced and nutritious meal planning.
4. Convenience and Efficiency: The inbuilt voice system, emotion detection, and intuitive user interface enhance the convenience and efficiency of managing refrigerator contents. Users can easily access information, receive reminders, and interact with the refrigerator, making food storage and preparation more streamlined.
5. Technological Advancements: The integration of advanced AI technologies in everyday appliances like refrigerators represents a significant step forward in smart home innovation. This can drive further advancements in the field, encouraging the development of more intelligent and interconnected household devices.
6. Environmental Impact: By promoting efficient food management and reducing wastage, the invention indirectly contributes to environmental sustainability. Less food waste translates to lower carbon footprints and reduced strain on food production resources, aligning with global efforts to combat climate change.
Overall, the “AI Enabled Refrigeration System” invention not only offers practical benefits in terms of food management and user convenience but also holds significant social implications by promoting health, reducing waste, and advancing technological innovation in household appliances.
Future Research Plans
Building on the innovative foundation of the “AN ARTIFICIAL INTELLIGENCE (AI) ENABLED REFRIGERATION SYSTEM, ” future research plans involve enhancing the AI algorithms for even greater accuracy in food quantity detection, spoilage prediction and personalised recipe recommendations. This includes exploring more advanced machine learning techniques and incorporating real-time feedback mechanisms to continuously refine the system’s performance. Additionally, research will focus on integrating the refrigerator with broader smart home ecosystems, allowing for seamless interaction with other smart appliances and IoT devices to create a fully connected kitchen experience. Investigations into more sustainable and energy-efficient sensor technologies will also be pursued to further reduce the environmental footprint of the device. Finally, extensive user studies will be conducted to gather feedback and insights, ensuring that the next iterations of the refrigerator are even more aligned with consumer needs and preferences, ultimately driving widespread adoption and maximising the social benefits of this technology.
Pictures Related to the Research
Fig 1: Schematic Arrangement of various Components for adequate operation of the proposed scheme
Fig 2: Schematic Arrangement of various Components for user interaction
Fig 3: Schematic representation of working of various components in the freezer system
• Pointer Number-27: Spoilage Detection Sensor (19) detects the item that is being spoiled and maps to particular item for alerting the user with the help of the capturing Device (01) and the info associated with that particular item like Expiry date etc.
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• Pointer Number-28: The Ultra Sonic Quantity Measurement Sensor (06) senses the quantity of the ITEM “x” (24), and the camera (01) is used to identify what is ITEM “x” through (23).
• Pointer Number-29: Weight Sensor (07), using newly captured item ITEM “x” (24) by capturing device (01), identifies the weight of that item by subtracting the weight obtained after the addition of that item with the initial holding by the cabinet and attaching the value with corresponding ITEM “x” (24).
• Pointer Number-30: Barcode Scanner (12) scans the Barcode associated with the item and maps the corresponding information with that particular item with the help of the capturing device (01).
• Port Number-31: Mobile Application. - Chetna: Awakening Mathematical Minds July 4, 2024
The Department of Mathematics at SRM University-AP successfully conducted a two-week summer programme “Chetna: Awakening Mathematical Minds” from June 17th to June 28th, 2024. This programme aimed to inspire and enhance mathematical understanding among participants from various parts of the country. The programme saw enthusiastic participation from 25 students hailing from different states across India, including West Bengal, Assam, Kerala, Karnataka, Tamil Nadu, Maharashtra, Gujarat, Delhi and Andhra Pradesh.The programme featured a diverse curriculum, covering a wide range of mathematical topics. Eleven subjects were taught by eleven distinguished faculty members from the Department of Mathematics. The subjects provided a broad and enriching mathematical experience, designed to ignite a passion for mathematics in the participants.
Insights of the Two-Week Programme
First Week Highlights
1. Number Theory by Prof. Kalyan Chakraborty
The first week began with an in-depth exploration of Number Theory. Prof. Kalyan Chakraborty introduced participants to fundamental concepts such as divisibility, prime numbers, and modular arithmetic. The engaging sessions provided a strong foundation in understanding the properties and applications of numbers.2. Abstract Algebra by Dr Anirban Bose
Dr Anirban Bose led the sessions on Abstract Algebra, diving into structures like groups, rings, and fields. The course covered essential algebraic concepts and their applications, enhancing the participants’ problem-solving skills and theoretical knowledge.3. Linear Algebra and Basic Operators by Dr Animesh Bhandari
Dr Animesh’s lectures on Linear Algebra included topics such as vector spaces, linear transformations, and matrices. The sessions aimed to build a solid understanding of linear systems and the role of operators in mathematical computations.4. Graph Theory by Dr Fouzul Atik
Graph Theory, taught by Dr Fouzul Atik, introduced participants to the study of graphs, which are mathematical structures used to model pairwise relations between objects. Topics included graph traversal, connectivity, and graph colouring, providing insights into the practical applications of graph theory.5. Ordinary Differential Equation by Dr Nityananda Roy
The week concluded with Dr Nityananda Roy’s sessions on Ordinary Differential Equations (ODEs). This course covered methods of solving first-order and higher-order ODEs, along with real-world applications of differential equations in various fields.Second Week Highlights
1. Advanced Algebra by Dr Kalyan Banerjee
Building on the first week, this subject delved deeper into algebraic structures, including advanced group theory and ring theory, preparing students for research-level problems.2. Metric Spaces by Dr Choiti Bandyopadhyay
Dr Choiti’s sessions on Metric Spaces introduced participants to the concepts of distance and convergence in metric spaces. Topics included open and closed sets, continuity, and compactness, providing a deeper understanding of analysis.3. Foundations of Probability and Statistics by Dr Vijayakrishna Rowthu
Dr. Vijayakrishna covered the Foundations of Probability and Statistics, focusing on probability theory, random variables, and statistical inference. The course aimed to equip participants with the skills needed to analyze and interpret data.4. Mathematical Modelling by Dr Tapan Kumar Hota
Dr. Tapan’s lectures on Mathematical Modelling demonstrated how mathematics can be used to represent, analyse, and solve real-world problems. The course included case studies and practical applications in various disciplines.5. Partial Differential Equation by Dr Ram Baran Verma
The sessions on Partial Differential Equations (PDEs) by Dr Ram Baran explored methods of solving PDEs and their applications in physics and engineering. Topics included separation of variables, Fourier series, and boundary value problems.6. Math Education by Dr Jayasree Subramanian
The final course on Math Education, taught by Dr Jayasree, focused on pedagogical approaches and techniques for teaching mathematics effectively. The sessions aimed to inspire future educators and enhance their teaching methodologies.Conclusion
The “Chetna: Awakening Mathematical Minds” summer programme was a resounding success, providing participants with valuable insights and knowledge in mathematics. The diverse backgrounds of the participants and the expertise of the faculty created a vibrant and stimulating learning environment, fostering a deeper appreciation for the subject. The Department of Mathematics at SRM University -AP looks forward to organising similar programmes in the future to continue inspiring young mathematical minds across the country.Continue reading →
- SRM AP Signs MoU with Human Resocia to Create Employment Opportunities in Japan for Students July 4, 2024
SRM University-AP has signed an MoU with Human Resocia to facilitate employment and job opportunities for university students in Japan. This collaborative agreement partners HR to provide all the necessary facilities required for students to pursue career opportunities in Japan.The MoU signing ceremony, organised yesterday, was honoured by esteemed individuals, including Prof. Manoj K Arora, Vice Chancellor of SRM University-AP, Dr M S Vivekanandan, Director of CRCS, Prof. C V Tomy, Dean SEAS, Mr Laxmanan Angu Raju, AGM of CRCS, Mr K Jotish Kumar, CEO of SRM Global, along with representatives from Human Resocia (HR) such as Mr Takeshi Tominaga, Mr Yuji Sakaguchi, Mr Taketo Fukuda, Mr Kagotani Takuya, and Mr Senthil Sellappan.
This Alliance between SRM University-AP and HR will primarily focus on recruiting students, providing Japanese language learning for recruitment in Japan as well as to identify opportunities where both entities can collaborate with Japanese universities or other relevant stakeholders of Japan be it academic or industry. With a goal to develop the employability and cross-cultural learning experience of students, this collaboration is all set for mutual growth and development.
Prof. Manoj K Arora, Vice Chancellor of SRM University-AP, expressed his enthusiasm: “This strategic partnership with Human Resocia marks a milestone in our efforts to provide international career opportunities for our students in Japan. We are very excited about the prospects that this MoU brings, and we are committed to preparing our students for successful careers ahead.”
Human Resocia Co., Ltd. is a recruiting and dispatch company in Japan that has been established for more than 30 years. It specialises in helping individuals develop their careers as IT engineers in the nation. Their rich experience in understanding the evolving needs of job seekers and how to help millions of job seekers and lakhs of recruiters like no one else does makes them a perfect ally, and we are happy that they trust us on this step.
This MoU signifies a significant step towards empowering students of SRM University-AP to begin a promising career path in Japan. It reflects the University’s commitment to providing holistic opportunities for professional growth and international exposure.
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- SRM AP Vice Chancellor Nominated to Prestigious AIU Governing Council July 2, 2024
A proud moment for SRM University-AP as it announces the nomination of its esteemed Vice Chancellor, Prof. Manoj K Arora, to the Governing Council of the Association of Indian Universities (AIU). The Association of Indian Universities (AIU) serves as a paramount inter-university organisation actively involved in the advancement and nurturing of higher education.On accepting this nomination, Prof. Arora remarked, “I am deeply humbled to have been nominated as a member of AIU and look forward to it. This nomination reflects our collective efforts towards advancing higher education and fostering collaboration, thereby working towards changing the face of higher education in India.”
This notable appointment not only recognises Prof. Arora’s outstanding contributions to the academic fraternity but also underscores SRM University-AP‘s commitment to excellence in higher education. The AIU plays a pivotal role in elevating the quality and accessibility of higher education across the nation. The AIU, with its broad membership including international institutions from Bangladesh, Bhutan, Kazakhstan, Malaysia, Mauritius, Nepal, Thailand, the UAE, and the UK, serves as a platform for global educational exchange and development. Its endeavours are directed toward creating a collaborative and innovative educational landscape, making this nomination significant for SRM University-AP and the broader academic community.
Prof. Arora’s nomination is a moment of pride not only for him but for the entire SRM AP fraternity. The university community extends its heartfelt congratulations to Prof. Arora on this noteworthy achievement and eagerly anticipates his ongoing guidance and foresight in steering the course of education in India.
Continue reading → - Innovating Human Resources: A Blockchain Technology Bibliometric Analysis July 2, 2024
In a significant academic achievement, Dr Vimal Babu, Associate Professor at the Department of Management, Paari School of Business, and Ms Rukma Ramachandran, a PhD Scholar, have co-authored a book chapter titled “Revolutionizing HR through the Deployment of Blockchain Technology: A Bibliometric Review.” The chapter is included in the book Blockchain and Digital Twin Enabled IoT Networks: Privacy and Security Perspectives, published by Routledge: A Taylor and Francis Group.
The research work delves into the potential of blockchain technology in transforming Human Resources practices, offering a bibliometric review to shed light on the impact and future possibilities within the field.The publication adds valuable insights to the growing discourse on blockchain applications in various industries, particularly focusing on HR management. This collaborative effort between Dr Vimal Babu and Ms Rukma Ramachandran highlights their dedication to exploring innovative solutions at the intersection of technology and management. Their contribution to the book aims to contribute to the ongoing dialogue on privacy, security, and efficiency in IoT networks, with blockchain technology playing a pivotal role in shaping the digital landscape.
The chapter’s publication signifies a notable milestone in the academic pursuits of both scholars, solidifying their expertise and thought leadership in the realm of blockchain technology and its implications for HR practices. Their contribution is expected to resonate with professionals, researchers, and students interested in the evolving dynamics of digital innovation and its impact on organisational processes.Brief Introduction of the Book Chapter
The adoption and implementation of Blockchain in Management have been gaining increasing attention. The rise in the number of studies on Blockchain in managerial applications invites a greater number of research contributions in this field. This chapter describes the gap in the present studies using a hybrid review system through the means of systematic literature review and bibliometric analysis.Publication details (incl. Publisher, ISBN, Launch date, Edition, etc)
Publisher- Taylor & Francis
ISBN- 9781003403791
Launch date- 19 July 2024
Edition- 1stTarget Audience of the Book Chapter
This book emphasizes and facilitates a greater understanding of various data security privacy approaches using the advances in Blockchain and data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.Link to the Book Chapter
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Blockchain and Digital Twin Enabled IoT Networks | Privacy and Securit (taylorfrancis.com)
