Safeguard your tomorrow with a higher education abroad
Utilising the student phase of life to the maximum is paramount in every ambitious individual’s career. Investing a definite amount of time and effort in acquiring and honing knowledge is necessary for building a better future. To create your identity in a multifaceted academic milieu, one needs to get a grip on how the world works. Affording different values and mindsets of the world outside one’s homeland is a well-opted way to reach this goal. There lies the relevance of studying abroad.
The Office of International Relations and Higher Studies is conducting a seminar on Glimpse on Abroad Studies to discuss the University Admission Process and the importance of GMAT, GRE & IELTS. Mr Prabhu T L, Regional Head, Jamboree Education, South India, will handle the session.
Date: September 15, 2022
Time: 4.00 PM to 5.00 PM
Venue: Admin block, Third floor, ALC -1
About the speaker
Prabhu holds an MBA in International Business from Pondicherry Central University and is currently the Regional Head – South with Jamboree Education, India’s leading institute for helping students achieve their dreams of studying in Global Universities. His focus areas include the practice of 21st-century education curriculum, the use of technology for academic excellence, and enabling students to realise their potential by choosing suitable careers, courses, and colleges in India and abroad. He is a teacher at heart and enjoys spending time with students inside and outside the class. He guides students to achieve their dreams of pursuing higher education in the top Universities worldwide.
- Published in Events, International Relations, IR-Events
An introduction to federated learning
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.
- Published in Departmental Events, ECE Events, Events
An introduction to federated learning
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.
- Published in Departmental Events, ECE Events, Events
The Newsmakers: A session with Ms Pragya Gupta
The Department of Student Affairs brings to you another segment of The Newsmakers session with Ms Pragya Gupta. Ms Pragya was one among the two students from the Department of Computer Science and Engineering who secured the coveted Mitacs Global Link Research Internship. She will deliberate on the topic “Guidelines for the application process of Mitacs”
Date: September 18, 2022
Time: 06.00 pm to 07.00 pm
Mitacs Globalink Research Internship is a highly competitive programme that pairs top-ranked international students having specific research expertise from 15 countries worldwide with faculty at top Canadian academic institutions. This is a twelve (12) week research project of mutual interest between May and October 2022.
As a fully funded programme, Mitacs and AICTE will administer the grant. Students can choose from about 14k+ projects in disciplines like Engineering, Life Sciences, Mathematics, Natural Sciences, Social Sciences, and the Humanities.
Ms Pragya got hold of the opportunity to spend three months at Athabasca University – Edmonton, Canada, as a research intern to work on the project titled “Blockchains for Data Storage and Mining in Learning Analytics”.
Join the webinar with Ms Pragya Gupta to know everything about the Mitacs Globalink Research Internship.
- Published in Events, Students Affairs Events
Vector Bundles: Sixth distinguished lecture from the Department of Mathematics
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!
- Published in Departmental Events, Events, Math Events, University Distinguished Lecture