SRMAP Departmental Events

Blockchain is a digital ledger of any transactions or contracts that need to be independently recorded. This technology underpins digital currency transactions. It can be utilised in many industries, including Financial Services, Healthcare, Government, Travel and Hospitality, and many more. The Blockchain club of the Department of Computer Science and Engineering is hosting a webinar on Blockchain Technology and its applications.

Date: September 24, 2022

Time: 10.00 AM to 11.30 AM

Assistant Prof Dr Manoj Kumar V of the Department of Computer Science and Engineering, will handle the session. More than 130 participants will be attending the programme.

About the speaker

Dr Manoj Kumar V did his PhD from NIT Tiruchirappalli. He has teaching experience at VIT- AP university, Anjalai Ammal Mahalingam Engineering College, Tamil Nadu, and Mount Zion College of Engineering and Technology, Tamil Nadu. Internet of Things, Blockchain, and Cryptocurrency are his primary research interests.

Click here to join the webinar!

The Department of Computer Science and Engineering in association with the SRM AP Hackathon club is organising a webinar titled Introduction to Hackathon: Best Practices from 9 am to 10 am, followed by a 24-hour internal hackathon C2Hack at 10 am on September 24, 2022.

A hackathon is a social coding event bringing together computer programmers and other technology enthusiasts together to conceive a new software programme or redesign an existing programme to enhance its performance. Hackathons present a constructive platform for developing prototypes for various applications and programming languages or for providing solutions to real-life challenges ranging from educational technology to disaster management.

Hackathons are thus classified into different types based on their objectives and themes. Having a well-defined set of rules is a necessity while organising a hackathon. The webinar intends to introduce students to the fundamentals of hackathon and some of the effective practices one may follow while participating in a hackathon. Students will also be given the opportunity to test their hacking skills in an internal hackathon C2Hack following the session.

Join the webinar and learn how to use your tech genius to find solutions to the greatest of real-life challenges. Every hackathon is a smart route to actualise your ideas into innovations.

The concept of vector spaces and linear maps between vector spaces are used in all branches of mathematics. The Department of Mathematics is organising the sixth distinguished lecture Vector Bundles in affiliation with the Indian Institute of Science Education and Research, Tirupati, India. Renowned Indian Mathematician Prof D S Nagaraj is the keynote speaker of the lecture.

Date: September 21, 2022

Time: 3.30 PM

Venue: Tiered classroom, Level 5

The talk will explain the concept of vector bundles and mapping between vector bundles, a natural generalisation of vector spaces, and linear mapping between vector spaces. The concept of vector bundles and mapping between them is helpful in several advanced branches of mathematics.

About the speaker

Prof D S Nagaraj did his PhD from the Tata Institute of Fundamental Research (TIFR), Mumbai. He was a professor at the Institute of Mathematical Science (IMSc), Chennai, one of the premier research institutes in India. After his retirement in 2018 from IMSc, he joined as a professor at IISER, Tirupati, and currently is the head of the Mathematics Department there. A conference on the occasion of his sixtieth birthday was held at IMSc in 2018 to celebrate his works. His areas of interest include Algebraic Geometry, Commutative Algebra, and Number Theory. His profound scholarship on the subject influenced many young scholars who later became well-established mathematicians. He is exceptionally generous and approachable to young students who would try to learn algebraic geometry for the first time. He has significantly impacted a generation of mathematicians as a researcher and a great teacher. He was elected as a fellow of the Indian academy of sciences in 2010 and 2017.

Join the lecture through the zoom link!

The Department of Electronics and Communication Engineering is hosting a seminar on September 16, 2022, at 4.00 pm as part of the Guest Lecture Series. Dr Anurag Singh, Associate Professor and Dean of Research and Consultancy, NIT Delhi, will deliver a talk on the topic “Federated Learning”.

Abstract of the talk

The most crucial resource for any business, individual, or person in the world is data. Everyone, whether an individual or an institution, wants to prevent a data breach. High-quality data must be subjected to machine learning algorithms. The model is trained using traditional machine learning techniques, which save data to one server. There is a chance that this method will expose personal information. A machine learning technique called federated learning (FL) enables machine learning models to train on various datasets located on various sites without sharing data. Without putting training data in a centralised location, it enables the development of a common global model. Additionally, it permits personal information to stay in local places, lowering the risk.

A new area of machine learning called federated learning already offers greater advantages than conventional machine learning techniques.

Data Security: Training data is kept locally on the devices, negating the need for a data pool.

Data variety: Heterogeneous data since it incorporates information from various users.

Real-time continuous learning: Client data is used to enhance models continuously.

Federated Learning is applied in the field of IoT, Healthcare, smartphones, Advertising, Autonomous Vehicles etc.

Speaker’s Profile

Dr Anurag Singh is currently working as the Associate Professor and Dean of Research and Consultancy at NIT Delhi. He received his PhD from the Indian Institute of Technology Kanpur. His research areas are Network Theory, Dynamics on/of Networks, Opinion Dynamics, Epidemic Modeling, Intelligent transportation system etc. Dr Anurag Singh has teaching experience at both undergraduate and graduate levels. He has taught courses ranging from the introductory level to specialized courses in Computer Science and Engineering, and Mathematics. Currently, he is mentoring students at graduate and undergraduate levels at the National Institute of Technology Delhi, India. In addition, he has also been supervising PhD students. He has around 70 publications featured across various leading journals and three DST-funded projects to his credit.

Join here.

The Department of Electronics and Communication Engineering is hosting a seminar on September 16, 2022, at 4 pm as part of the Departmental Distinguished Lecture Series. Dr Anurag Singh, Dean of Research and Consultancy, NIT Delhi, will deliver a talk on the topic “Federated Learning”.

Abstract of the talk

The most crucial resource for any business, individual, or person in the world is data. Everyone, whether an individual or an institution, wants to prevent a data breach. High-quality data must be subjected to machine learning algorithms. The model is trained using traditional machine learning techniques, which save data to one server. There is a chance that this method will expose personal information. A machine learning technique called Federated Learning (FL) enables machine learning models to train on various datasets located on various sites without sharing data. Without putting training data in a centralised location, it enables the development of a common global model. Additionally, it permits personal information to stay in local places, lowering the risk.

A new area of machine learning called federated learning already offers greater advantages than conventional machine learning techniques.

Data Security: Training data is kept locally on the devices, negating the need for a data pool.

Data variety: Heterogeneous data since it incorporates information from various users.

Real-time continuous learning: Client data is used to enhance models continuously.

Federated Learning is applied in the field of IoT, Healthcare, smartphones, Advertising, Autonomous Vehicles etc.

Speaker’s Profile

Dr Anurag Singh is currently working as the Associate Professor and Dean of Research and Consultancy at NIT Delhi. He received his PhD from the Indian Institute of Technology Kanpur. His research areas are Network Theory, Dynamics on/of Networks, Opinion Dynamics, Epidemic Modeling, Intelligent transportation system etc. Dr Anurag Singh has teaching experience at both undergraduate and graduate levels. He has taught courses ranging from the introductory level to specialized courses in Computer Science and Engineering, and Mathematics. Currently, he is mentoring students at graduate and undergraduate levels at the National Institute of Technology Delhi, India. In addition, he has also been supervising PhD students. He has around 70 publications featured across various leading journals and three DST-funded projects to his credit.