East India Story

The Department of Mathematics at SRM University-AP hosted a successful Faculty Development Programme (FDP) on Algebra, Analysis, and Number Theory (AAN–2024) from December 16 to 20, 2024. This initiative aimed to strengthen faculty expertise in foundational mathematical disciplines essential for undergraduate (UG) and postgraduate (PG) education while also promoting effective teaching strategies.

Held online via Zoom, the programme attracted over 500 interested participants from across India, although due to platform capacity, 480 were accommodated. The FDP featured a series of keynote lectures by distinguished speakers focusing on core areas of mathematics.

Prof. V Kannan delivered an extensive session on analysis, discussing key theorems such as the Bolzano-Weierstrass theorem, the Intermediate Value Theorem, and the Heine-Borel theorem. The theoretical insights were complemented by tutorial sessions led by research scholars Mr Priti Prasanna Mondal and Ms Athulya P, who assisted participants in reinforcing their understanding through practical examples.

In the realm of number theory, Prof. Kalyan Chakraborty’s engaging lectures covered topics including plane curves, rational points, and elliptic curves, emphasising their importance and applications. Tutorial sessions by Dr Arkabrata Ghosh and research scholar Ms Leena Mondal supported these discussions with additional insights.

Dr Subha Sandeep Repaka presented comprehensive lectures on algebra, detailing concepts such as the structure of cyclic groups, Lagrange’s theorem, and Sylow’s theorems. These sessions were paired with tutorials that helped participants apply and solidify their knowledge.

Under the leadership of Convenor Dr Sandeep Kumar Verma and Co-Convenors Dr M Radhakrishnan and Dr G Damodar Reddy, the FDP offered valuable insights into advanced mathematical topics and innovative pedagogical approaches. Dr. Verma expressed gratitude for the overwhelming response, stating, “It was a privilege to organise this FDP, bringing together experts and participants to explore the depths of algebra, analysis, and number theory. This programme has served as a platform for knowledge exchange, fostering collaboration and growth in the field.”

The programme marked a significant step towards enhancing mathematics education and research, inspiring participants to incorporate new ideas and methodologies in their academic endeavours.

Indian Bulletin

Abhyudhay Times

Indian Sentinel

RD Times

Republic News India

The Department of Computer Science and Engineering is proud to announce that Dr S Gavaskar has published his patent titled A System for Generating Prompts for Generative Artificial Intelligence (AI) Applications (Application Number: 202441091788). This groundbreaking invention will prove to be a significant advancement in the field of AI, enabling the creation of contextually rich and user-specific prompts, thereby enhancing the accuracy and usability of generative AI systems across various domains.

A Brief Abstract:

This research invention relates to Prompt creation process for Generative AI Application by introducing Four way corpus directory(FWCD) comprising the Persona corpus, Localized Application Specific Content Corpus, Annotator corpus, and Stopword corpus to create well-formed, contextual prompts for AI models. It also employs Semantic Based Categorization and Ranking(SBCR) for semantically categorizing and ranking the content present in the Localized Application Specific Content Corpus . The invention improves the interaction between users and Generative AI. It helps deliver more accurate, semantic based outputs from the AI models, improving the overall performance and usability of the system.

Explanation in Layperson’s Terms:

Prompt engineering is the process of using natural language to create instructions that generative artificial intelligence (AI) models can understand and interpret.In this research we have create a system for prompt creation by which the users can create their own prompt with the combination of their persona details,stopword,annotator content from their localized corpus directory before applying to the LLM models such as ChatGPT,Copilot etc.

Practical Implementation / Social Implications:

• This concept can be implemented in Education Institutions to generate tailored prompts for learning materials and academic projects.Enterprises can use localized content to generate role-specific prompts. and marketing organizations can use to create prompts aligned with specific campaigns or audience demographics.It can also be used in organizations where multiple persons with different roles and responsibilities are there and they have their own localized content for which a prompt has to be created for an Generative AI Application.
  This invention also lets people from different skill levels access the system and create their own prompt for their applications.

Future Research Plans:

Future research focus is on creating LLM and AI related applications to the field related to education.cyber security,Legal and Enterprises.

Dr Saswat Kumar Ram and Dr Banee Bandana Das from the Department of Electronics and Communication Engineering have developed an intelligent safety system to prevent road accidents caused by drowsiness and alcohol consumption. Their patented research, A System and Method for Vehicles to Prevent Road Accidents During the Inebriated State of the Driver (Indian Patent No. 202441037564), uses simple sensors and microcontrollers to provide real-time safety feedback, offering an affordable and effective solution for enhancing vehicle safety.

A Brief Abstract:

This research offers the best solution to improve security measures in the control system by integrating simple sleep and odour sensors. The goal is to create an intelligent safety management system. The devices used are microcontroller, motor drivers, motors, MQ-3 (alcohol sensor), IR sensor (drowsiness detection), buzzer, and lights, these are the main components used in this project for hardware. The embedded-C language is used for the Arduino IDE. The system is designed to provide safety feedback in a variety of applications. MQ-3 can be used to detect and identify environmental odours in people, whether drunken. Our aim is to design product that can be inexpensive and easy to integrate into existing control systems, making it suitable for many applications such as automobiles, workplaces, and homes. This research is a good step towards improving the security of the control system by using the ability of simple and inexpensive equipment for instant monitoring and response.

Explanation in Layperson’s Terms:

The proposed safety control system effectively detects drowsiness and alcohol consumption, utilizing simple sensors MQ-3 and IR sensor to enhance road safety. By integrating these sensors with Microcontroller, the system triggers real-time alerts to prevent accidents. Upon detecting alcohol, the car automatically slows down, minimizing speed and activating LED backlights to indicate the driver’s inebriated state. Similarly, when drowsiness is detected, the system reduces car speed, emits a buzzing sound, and activates lights, signaling the driver’s drowsy condition. This comprehensive approach addresses both drowsiness and alcohol consumption, two major contributors to road accidents. The system’s simplicity, affordability, and ease of integration make it a promising solution for enhancing vehicle safety.

Practical Implementation

The current invention addresses the generic problems that cause road accidents and tries to control the speed of the vehicle and play buzzer to ensure the safety of the passengers and driver. To best of authors’ knowledge, th parameter detection i.e. alcohol and drowsiness detection.

The present invention can be used in smart city and smart villages applications for making the road safe, driver and passengers safe, and few application areas are:

• Smart City and Smart Village: This technique and system can reduce road accidents caused due to alcohol consumption and drowsiness.
• Automobile Industry: The system can be easily integrated with the existing control system in vehicles to ensure safety.

Future Research Plans:

To develop more secure and reliable safety mechanism for safe driving.

According to the picture, the person wearing the glasses is the driver, and he’s not sleepy.

Here driver is in drowsy state so that Parking lights on, speed reduces and buzzer is ON.