MOU with ASPIRE BioNEST, UoH for Augmenting Innovation and Incubation
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.
CSE Academic Innovators File Patent for AI-Powered Refrigeration System
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.
• 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.
- Published in CSE NEWS, Departmental News, News, Research News
Chetna: Awakening Mathematical Minds
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.
- Published in Departmental News, Math News, News
SRM AP Signs MoU with Human Resocia to Create Employment Opportunities in Japan for Students
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.
- Published in CR&CS, CR&CS NEWS, Departmental News, News