Mega passport drive: To facilitate your journey abroad
The Office of International Relations and Higher Studies is organising a Mega Passport Drive to assist students in applying for new passports and renewing their existing passports. The event is scheduled on September 15 and 22, 2022 from 10.00 am to 04.30 pm.
SRM University-AP offers umpteen opportunities for students to study abroad and gain international learning exposure. The various outbound mobility programmes introduced by the university are Global Immersion, Semester Abroad Programmes, Overseas Internships, Summer and Winter Schools, etc. What makes the abroad learning opportunities at SRM University-AP unique is the customised variety of overseas learning avenues introduced here keeping the differing requirements of its students in mind.
A lot of students have expressed their interest in being part of such study abroad ventures. However, a majority of them are still groping in the darkness when it comes to various technical procedures associated with travelling abroad. Applying and securing a passport is one of the hurdles on their way. The Mega Passport Drive is an opportunity to walk students through the passport application procedure.
Students can submit their applications to the university itself. All the individuals who are looking for a new issue or reissue can avail this opportunity.
- Published in Events, International Relations, IR-Events
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