Lecture on Experimental Research Design by Prof. C Raghunath
The Department of Management under the Paari School of Business organised an engaging interactive session with Faculty and PhD Scholars on Experimental Research Design. The session was addressed by Prof. Raghunath Singh Rao, Professor of Marketing at UT, University of Texas, Austin. The event provided an insightful discussion on Marketing Research where Prof. Raghunath Singh Rao shared personal insights on his research and experiments conducted in India since 2014.
During the session, Prof. Rao discussed a specific experiment in the healthcare sector, highlighting the necessity of preventive healthcare in rural areas. He also presented findings from an experiment focused on the role of incentives for medical representatives and how these incentives influence their performance and sales strategies. His expertise on designing and implementing field experiments in India, offering practical insights and methodologies for conducting impactful research in the Indian context.
The outcome of the programme was two-fold. First, participants learned how to conduct in-field experiments addressing practical problems in India. Prof. Raghunath Singh Rao provided a framework for identifying relevant issues and designing experiments that can yield actionable insights. Second, attendees gained a comprehensive understanding of effectively conducting these experiments. Key points emphasised included the importance of clear objectives, selecting appropriate control and treatment groups, ensuring ethical considerations, and maintaining rigorous data collection and analysis methods. Prof. Rao also highlighted the need for adaptability in the field, considering local contexts and potential challenges. Additionally, the session covered how to conduct research through mathematical models, providing a robust approach to analysing complex data and deriving meaningful conclusions. This knowledge equips researchers with the tools to design and implement impactful field experiments, ultimately contributing to solving real-world problems in India
- Published in Departmental News, News, Paari Current Happenings
Patent on SQL Free Database Interaction
This research, by Dr Ashu Abdul, Assistant Professor and research scholar Ms Surya Samantha Beri along with forth-year student, Mr Jakkampudi Venkatasubbaiah from the Department of Computer Science and Engineering explores a framework designed to help users retrieve and analyse data without requiring any Structured Query Language (SQL) knowledge. The patent titled, “System and Method for Generating Structured Queries from Natural Language Inputs , with application no: 202441096460 is particularly relevant as it enables individuals, like a car dealer seeking sales insights, to interact with their databases using everyday language. Such accessibility underscores the importance of this research in democratising data access for all users.
Abstract:
This project is centred around creating a framework that translates user queries into SQL statements and retrieves results without requiring any SQL knowledge from the user. By delving into the workings of various RDBMS systems, with a special focus on MySQL, I developed a solid understanding of database architecture and how databases are engineered for optimized performance. This knowledge was critical in designing a system that can seamlessly interact with any given database, analyse it, and provide relevant results in response to user input.
About the Framework:
This framework is intended to convert the user queries into SQL statements and attain the results from the database without intervention of SQL coding. Every time writing multiple SQL commands to apply filters, commands, and extracting data is time-consuming and requires having knowledge of SQL knowledge. This project is intended to analyze a database and answer the questions that are related to a particular database without writing SQL commands.
Explanation in Layperson’s Terms:
In-General we rely on programmers who are efficient in programming SQL for finding the insights from the database which are related to business or information. So, Laymen cannot access data without knowing SQL this project makes it possible. Assume, Mr. A a car dealer owns a showroom has a software dealing with his Business he wants to access his data and get insights for understanding the sales. Now he is not familiar with using SQL so he relies on someone for that or opens software and applies multiple filters to analyze his data. But What if he can use a chatbot and get solutions for all his questions from his database?
Mr.A can get conclusions from his data within no-time that thought represents this entire project.
What are the use cases of this framework to a layman?
Laymen interaction with the database for understanding their data. Reducing the requirement to understand and search for the filters in the front-end. Faster data extraction from the database. Generating the results based on user queries in natural language without SQL coding. Elimination of time and efforts required for writing SQL Commands or applying filters. Understanding data gets easier for engineers as well as unknown data can be understood easily.
Practical Implementation:
This project has been successfully integrated into several existing real-time applications, enabling precise identification of data locations. By fine-tuning and enhancing our algorithms, we have achieved significant improvements in accuracy. In practical terms, users can effortlessly explore and comprehend their data.
Furthermore, extensive testing across databases of varying sizes has demonstrated the project’s ability to deliver significant and well-structured results.
Future Enhancements:
Incorporating Natural Language Processing (NLP) to process and respond to queries in users’ native languages, including speech-to-text capabilities.
Facilitating the generation of dynamic reports in various formats such as PDFs and Excel sheets.
Expanding compatibility to support additional database systems like Oracle, PostgreSQL, and NoSQL models.
Enabling data extraction and analysis from Excel sheets and CSV files.
- Published in CSE NEWS, Departmental News, News, Research News
ETOT 2024 : Advancing Optical Technology in India
The Department of Physics organised the International Conference on Emerging Trends in Optical Technology (ETOT 2024), showcasing the latest advancements in the field of Optical Technology. The conference featured esteemed chairpersons Prof. R P Singh and Prof. Achanta Venugopal, alongside distinguished dignitaries including Registrar, Dr R Premkumar, Dean-SEAS , Prof. C V Tomy, and Dean-Research, Prof. Ranjit Thapa.
In his inaugural address, Dr Gangi Reddy Salla, Associate Professor and programme convenor from the Department of Physics, emphasised the vital role of Optical Technology in contemporary society. He stated, “This conference serves as a crucial platform for discussing the emerging trends and innovations in Optical Technology, reflecting its significance in various sectors today.”
The conference hosted 62 distinguished speakers from India and abroad, receiving a total of 103 abstracts, with 40 contributions from the university across various departments. As an association with IOP Proceedings, special acknowledgment will be featured in its upcoming issue. Additionally, the conference was generously supported by sponsors exceeding 10 lakhs, including notable companies such as ANRF, ATOS, Advanced Photonics,AIMIL and CIPHR and the University of Tartu. OPTICA also endorsed this significant event.
During the proceedings, five exemplary paper awards were announced in honour of the conference chairperson Prof. R P Singh. In his welcome address, Prof. C V Tomy remarked, “Despite being only seven years old, the university has made significant strides in research, this conference is testimonial to the varsity’s research excellence and will not just pave way for advancements in the field of optical technology, but will also fosters collaboration between industry leaders and academic experts.”
Prof. Achanta Venugopal highlighted the pressing need for a uniform curriculum in Optics and Photonics nationwide. He expressed concern over the lack of fabrication laboratories to expand research possibilities, saying, “Conferences like these can significantly impact our field by addressing the necessity for such facilities, prompting governmental action to support our academic aspirations.”
Prof. R P Singh urged attendees to broaden their research applications beyond academic papers, particularly in fields such as Agriculture and Medicine. He stated, “The utilisation of optical technologies can revolutionise these sectors, and it is essential for our research to resonate with real-world challenges and reach those in need.”
The event concluded with the recognition of the chairpersons by Registrar Dr R Premkumar, Dean-SEAS, Prof. C V Tomy, and Dean-Research, Prof. Ranjit Thapa. The release of the abstract book marked another highlight of the conference, with Dr Ravi Kumar delivering the vote of thanks. The event also featured insightful presentations and discussions from prominent speakers representing renowned institutions both in India and internationally.
- Published in Conferences, Departmental News, News, Physics News
2D Metallene Designs to Advance Multifunctional Electrocatalysis
Dr Narayanamoorthy Bhuvanendran, Assistant Professor in the Department of Environmental Science and Engineering, has published his research work as an article titled “Ultra-thin Dealloyed PdCu Bimetallene with Lattice Strain Transformation for Efficient Bifunctional Electrocatalysis” in the esteemed International Journal of Hydrogen Energy, which has an impact factor of 8.10. His work underscores the development of 2D PdCu bimetallene with improved structural and electronic properties displaying super-catalytic behaviour.
Abstract
Two-dimensional (2D) PdCu bimetallene (PdCu) demonstrates exceptional structural and electronic properties, making it highly effective for electrochemical reactions in energy applications. Electrochemical dealloying (DA) of PdCu enhances surface reactivity by modulating electronic structure and inducing strain, optimising its performance for oxygen reduction (ORR) and methanol oxidation (MOR) in alkaline media. DA PdCu features a heterogeneous surface with abundant defects, improving active site availability and reaction kinetics. It achieves superior ORR mass activity (0.62 mA µg⁻¹) with a 10 mV positive half-wave potential shift after 20,000 cycles and MOR mass activity (3335.9 mA mg⁻¹) with 62.3% retention after 10,000 cycles. Theoretical studies reveal the impact of strain-induced electronic modulation on intermediate adsorption energies, corroborating experimental findings. This alloying-dealloying strategy in 2D PdCu bimetallene offers a robust approach to advancing multifunctional electrocatalysis with enhanced durability and performance.
Explanation of the Research in Layperson’s Terms
This research highlights the development of a two-dimensional PdCu bimetallene catalyst with tailored structural and electronic features, offering transformative advancements for electrochemical energy conversion and storage systems. The unique properties of 2D metallene layers, including their high surface area, tunable electronic structure, and enhanced surface reactivity, play a pivotal role in optimising catalytic performance. By employing a controlled dealloying process, the atomic and electronic structure of PdCu bimetallene is significantly modified, introducing lattice distortions, abundant surface defects, and a heterogeneous crystalline-amorphous interface. These features create more active sites and improve the interaction with reaction intermediates, leading to superior catalytic behaviour. The material demonstrates outstanding efficiency in oxygen reduction (ORR) and methanol oxidation (MOR), critical reactions in fuel cells and other electrochemical energy systems. For ORR, the catalyst achieves high mass activity, long-term stability, and resistance to degradation, maintaining its performance after extensive testing. In MOR, the catalyst exhibits exceptional activity and durability, retaining a significant portion of its efficiency over prolonged cycles. These structural and functional attributes emphasize the importance of 2D metallene designs and the alloying-dealloying strategy in enhancing the structure-activity relationship, establishing a foundation for innovative electrocatalysts in sustainable energy technologies.
Practical Implementation/ Social Implications of the Research
This research offers a practical pathway to revolutionise renewable energy systems by advancing next-generation electrocatalysts for fuel cells, metal-air batteries, and other energy conversion technologies. The optimised two-dimensional PdCu bimetallene, with enhanced ORR and MOR performance, demonstrates significant potential for clean energy applications such as proton-exchange membrane fuel cells and direct methanol fuel cells, addressing critical needs for efficiency and durability. The scalable, environmentally friendly alloying-dealloying synthesis reduces reliance on expensive platinum, lowering production costs while delivering high catalytic performance. By enabling efficient energy storage and conversion, supporting carbon-neutral systems, and inspiring the design of versatile 2D metallenes for diverse applications, this research significantly contributes to sustainable energy transitions and global climate goals.
Collaborations
- Prof. Sae Youn Lee, Department of Energy and Materials Engineering, Dongguk University, Seoul, Republic of Korea.
- Dr Wan-Gil Jung, Korea Basic Science Institute, Gwangju Center, Republic of Korea.
- Prof. Ming-Chang Lin, Department of Applied Chemistry, National Yang-Ming Chiao Tung University, Hsinchu, Taiwan.
- Dr Venkatesan Srinivasadesikan, Department of Chemistry, School of Science and Humanities, Vignan’s Foundation for Science, Technology and Research, Guntur, Andhra Pradesh, India.
Future Research Plan
Future research will focus on designing nanostructured hybrid electrocatalysts with enhanced activity, stability, and selectivity for energy and environmental applications. Emphasis will be placed on tailoring nanoscale architectures and synergistic material interactions to optimize performance in processes such as water splitting, CO2 reduction, NO3 reduction, fuel cells, and pollutant degradation, enabling scalable and sustainable solutions to global challenges.
- Published in Departmental News, ENVS News, News, Research News
Patent on SQL Free Database Interaction
This research paper, by Dr Ashu Abdul, Assistant Professor and research scholar Ms Surya Samantha Beri along with fourth-year student, Mr Jakkampudi Venkatasubbaiah from the Department of Computer Science and Engineering explore a framework designed to help users retrieve and analyse data without requiring any Structured Query Language (SQL) knowledge. The paper titled, “System and Method for Generating Structured Queries from Natural Language Inputs“, is particularly relevant as it enables individuals, like a car dealer seeking sales insights, to interact with their databases using everyday language. Such accessibility underscores the importance of this research in democratising data access for all users.
Abstract:
This project is centred around creating a framework that translates user queries into SQL statements and retrieves results without requiring any SQL knowledge from the user. By delving into the workings of various RDBMS systems, with a special focus on MySQL, I developed a solid understanding of database architecture and how databases are engineered for optimized performance. This knowledge was critical in designing a system that can seamlessly interact with any given database, analyse it, and provide relevant results in response to user input.
About the Framework:
This framework is intended to convert the user queries into sql statements and attain the results from the database without intervention of sql coding. Every time writing multiple SQL commands to apply filters, commands, and extracting data is time-consuming and requires having knowledge of SQL knowledge. This project is intended to analyze a database and answer the questions that are related to a particular database without writing sql commands.
Explanation in Layperson’s Terms:
In-General we rely on programmers who are efficient in programming SQL for finding the insights from the database which are related to business or information. So, Laymen cannot access data without knowing SQL this project makes it possible. Assume, Mr. A a car dealer owns a showroom has a software dealing with his Business he wants to access his data and get insights for understanding the sales. Now he is not familiar with using SQL so he relies on someone for that or opens software and applies multiple filters to analyze his data. But What if he can use a chatbot and get solutions for all his questions from his database?
Mr.A can get conclusions from his data within no-time that thought represents this entire project.
What are the use cases of this framework to a layman?
Laymen interaction with the database for understanding their data. Reducing the requirement to understand and search for the filters in the front-end. Faster data extraction from the database. Generating the results based on user queries in natural language without sql coding. Elimination of time and efforts required for writing SQL Commands or applying filters. Understanding data gets easier for engineers as well as unknown data can be understood easily.
Practical Implementation:
This project has been successfully integrated into several existing real-time applications, enabling precise identification of data locations. By fine-tuning and enhancing our algorithms, we have achieved significant improvements in accuracy. In practical terms, users can effortlessly explore and comprehend their data.
Furthermore, extensive testing across databases of varying sizes has demonstrated the project’s ability to deliver significant and well-structured results.
Future Enhancements:
Incorporating Natural Language Processing (NLP) to process and respond to queries in users’ native languages, including speech-to-text capabilities.
Facilitating the generation of dynamic reports in various formats such as PDFs and Excel sheets.
Expanding compatibility to support additional database systems like Oracle, PostgreSQL, and NoSQL models.
Enabling data extraction and analysis from Excel sheets and CSV files.
- Published in CSE NEWS, Departmental News, News, Uncategorized
Commemorating National Mathematics Day
The Department of Mathematics commemorated National Mathematics Day on December 20, 2024, with a remarkable event honouring the birth anniversary of the legendary mathematician Srinivasa Ramanujan. The celebrations encapsulated Ramanujan’s works, achievements, and the significance of mathematics in everyday life through various guest talks, programmes, and a movie screening.
Chief guest Prof. Rajat Tandon, Retired Professor from Hyderabad Central University, delivered the keynote session underscoring the significance of the subject and recognising its widespread applications in technology, engineering, economics, healthcare, and beyond. Dr Sazzad Ali Biswas, Assistant Professor from the Department of Mathematics, SRM AP, also elucidated exploring the world of mathematics and the myriad of opportunities that lie within academia, industry, and research.
The National Mathematics Day Celebrations also featured a movie screening of the Oscar-winning film A Beautiful Mind, a biographical drama about the mathematician John Nash, a Nobel Laureate in Economics. The film engaged students in a deep exploration of mathematics and inspired them to achieve excellence in the field.
- Published in Departmental News, Math News, News
ACM Winter School 2024: A Platform for Innovation
The ACM Winter School 2024, organised by the Department of Computer Science, was aimed to enhance advanced learning in the field of computing. This prestigious programme successfully attracted participants from across India, representing 22 eminent institutions, including notable names like IIT Delhi, IIT Gandhinagar, and IIT Hyderabad.
The inaugural session, was graced by distinguished academic figures such as Prof. Nibaran Das from Jadavpur University and Prof. C V Tomy, the Dean of the School of Engineering and Sciences. The faculty coordinators, Dr Priyanka Singh, Dr Ajay B, Dr Ravi Kant Kumar, and Dr Niladri Sett, played significant roles in facilitating the event.
During the opening remarks, Dr Ajay B, who serves as an Assistant Professor and faculty coordinator, emphasised the importance of creating platforms that inspire innovative thinking and empower students with fresh, out-of-the-box ideas. His perspective resonated with the overarching goals of the Winter School to cultivate cre
ativity and collaboration among the participants.
Dr Priyanka Singh provided a comprehensive overview of the programme’s objectives, setting the tone for the enriching experiences that lay ahead. Following her, Prof. C V Tomy addressed the audience, underscoring the significance of such events in offering new insights and facilitating networking opportunities. He praised the organising team for their commitment to making this initiative a reality and highlighted its potential impact on the academic journeys of the participants.
With a dynamic lineup of sessions led by experts from various parts of the country, the ACM Winter School delivered a transformative learning experience. This gathering promotes collaboration and knowledge exchange, aiming to foster a deep understanding of critical computing topics among attendees.
Adding to the programme’s rich content, Dr Abhishek Singh was recognised as the esteemed resource person for the Winter School. His extensive expertise and invaluable insights have significantly enriched the experience, inspiring participants to engage in innovative thought. The gratitude expressed by the faculty coordinators—Dr Priyanka Singh, Dr Ajay B, and Dr Ravi Kant Kumar—reflects the lasting impact his contributions have made on all attendees.
The ACM Winter School 2024 promises to be a milestone event, equipping participants with knowledge and skills that will undoubtedly resonate in their academic and professional pursuits.
- Published in CSE NEWS, Departmental News, News
OCIT-2024: An International Conference Exploring Trends in Information Technology
The 22nd OITS International Conference on Information Technology (OCIT-2024) was hosted at SRM University-AP from December 12 to 14, 2024. The conference, which served as a premier platform to discuss advancements in information technology, brought together distinguished academics, researchers, industry professionals, and students from across the globe. OCIT-2024 witnessed a submission of 600 research papers, out of which 136 papers were accepted and registered for presentation after rigorous review.
OCIT 2024 had seven keynote speakers who delivered insightful presentations, offering deep expertise and futuristic perspectives on emerging trends: Prof. Arun Kumar Pujari, HOD of AI & CSE, Adviser & Professor Emeritus Mahindra University, Prof. Banshidhar Majhi, Professor (HAG), Comp Sc.& Engg. NIT Rourkela, Former Director, IIITDM KP, Former VC, VSSUT Burla, Prof. Prabir Kumar Biswas, IIT Kharagpur, Prof. Sharad Sharma (University of North Texas UNT), Dr Kannan Srinathan (IIIT Hyderabad), Prof. Siba Kumar Udgata (University of Hyderabad), Dr Kumar Goutam (Founder & President of QRACE).
Esteemed session chairs guided thought-provoking discussions, elevating the intellectual rigour of the conference. Presenters also shared cutting-edge research, fostering a vibrant exchange of ideas and innovation. The topics explored ranged from artificial intelligence and machine learning to advanced networking and quantum computing. The conference emphasised the importance of collaboration between academia and industry in addressing global challenges and shaping the future.
The conference concluded on a high note, inspiring participants to continue their pursuit of excellence in research and innovation. 12 papers were recognised as the best papers for their exceptional quality and contribution. All 136 accepted papers will be published in IEEE Xplore (Scopus Indexed). Additionally, approximately 15% of the papers will receive extended invitations for submission to peer-reviewed journals.
OCIT-2024 was a remarkable event, leaving a lasting impact on its participants and setting the stage for future technological advancements. The event celebrated the spirit of innovation and research through well-curated presentations.
- Published in CSE NEWS, Departmental News, News, Research Events, Research News
FDP on Algebra, Analysis, and Number Theory Concluded Successfully
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.
- Published in Departmental News, Math News, News
Dr Gavaskar Publishes Patent on Generating Prompts
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.
- Published in CSE NEWS, Departmental News, News, Research News