Dr Sandeep Singh Sengar, Assistant Professor, Department of Computer Science and Engineering, is organising a workshop for the enthusiasts on “Deep Learning-based Computer Vision and its Applications” on 19th and 20th June 2020 at 11 a.m. onwards.
One of the main targets of Computer Vision is to interpret the content of Image and Video data. Machine/Deep learning is the science of designing and applying algorithms that can learn things from past cases. The workshop will focus on the concept and understanding of Image and Video Processing, Computer Vision and Deep Learning. In the workshop, participants will gain basic knowledge in the domains as well as hands-on experience in application and problem-solving. Attending the workshop will help participants immensely to come up with innovative ideas, but more importantly, they will have gained knowledge that could instantly set them apart from the crowd. The workshop is an excellent opportunity for those who want to build a career in this domain. In addition to that, research scholars, faculties or industry persons will also be benefitted from the action-oriented discussion and shared knowledge.
Registration Link: https://srmap.zoom.us/meeting/register/tJUvceuspzIrE9I0l6gBgvluSHgMXThsDOE1
Department of Computer Science and Engineering, SRM University-AP, Andhra Pradesh will be hosting a webinar on “Inspiring Innovation at SRM University with IEEE Research” in collaboration with IEEE Student Branch, SRM University-AP and IEEE Guntur Subsection on 1st July 2020.
The webinar is aimed at helping faculty and students (UG, PG, and research scholars) to discover yet-to-explore research issues pertinent to respective research domains. The webinar will enable students to explore the important information on IEEE Xplore (IEEE.org in general) site which will assist them to get better placement opportunities — through an in-depth knowledge regarding the research work being conducted by companies and organizations. The session will also introduce the advance facilities available for authors on IEEE site such as IEEE Authors Tools, author notifications etc. Other aspects include how to make quick decisions on choosing the right paper from an ocean of research articles on the internet, how to assess the impact of the research article and much more.
Coordinated by Dr. Manjula R, Assistant Professor, Department of CSE, the webinar will commence with a welcome note and Prof. Ragunathan T, head, Department of CSE, will precede the event with opening remarks. Followed by, Dr. Dhanukumar Pattanashetti, will take over the session.
Registration Link: Click here
Participate, Network and Collaborate to prosper.
Department of Computer Science and Engineering, SRM University-AP, Andhra Pradesh is orchestrating a five-day online Faculty Development Programme (FDP) on “Recent Advancements in Machine Learning and Artificial Intelligence” from November 2, 2020, till November 6, 2020. The programme will be split into two sessions, where the first session will be held from 9.30 AM to 11 AM, and the second session will commence at 11.30 AM and end at 1 PM. During the FDP, Resource persons will be sharing knowledge during the morning sessions of the FDP to inspire, and mentor the faculty. Among the venerated speakers, Prof Dipti Prasad Mukharjee, Professor, Electronics and Communication Sciences Unit, ISI Kolkata, India will be delivering a lecture on “Machine Learning Techniques for Computer Vision”. Further, Dr V Masilamani, Associate Professor, Computer Engineering, Indian Institute of Information Technology Design and Manufacturing (IIITDM) Kancheepuram, Tamil Nadu, India, will be sharing insights on “Machine Learning for Image Quality Assessment”.
Moving ahead with the FDP, Dr Deepak Mishra, Associate Professor & Head, Avionics Department Indian Institute of Space Technology (IIST), Trivandrum, Kerala, India, will host a session on “Machine Learning Applications in Remote Sensing”. Another session will be held on “Object and Image Memorability Analysis using Deep Learning Approach” by Dr Arjit Sur, Associate Professor, Computer Science and Engineering, IIT Guwahati, India. In addition, Dr A Vadivel, Associate Professor, Computer Science and Engineering, SRM University-AP, Andhra Pradesh, has been requested to conduct a session on “India Facial Expression Classification Using Machine Learning”. Apart from this, Dr Amal Dev P, Assistant Professor, Computer Science and Engineering, IIT Guwahati, India will be discussing the “Applications of AI in Computer Graphics”.
Dr Deepak Ranjan Nayak, Assistant Professor, Computer Engineering, MNIT Jaipur, Rajasthan, India, will be speaking on “Medical Image Processing using Deep Learning” whereas, Dr Sanjay Kumar Panda, Assistant Professor, Computer Science and Engineering, NIT Warangal, Telangana, India have chosen the topic “Case Study of Machine Learning: Recommender Systems” for his lecture during the FDP. Also, the department of CSE will be welcoming Dr Subhankar Mishra, Assistant Professor, Computer Science, National Institute of Science Education and Research (NISER), Bhubaneswar, India, and Dr Jatindra Dash, Assistant Professor, Computer Science and Engineering, SRM University-AP, Andhra Pradesh, India, to deliver a talk on “Secure and Private Machine Learning”, and “Texture Classification using Machine Learning”, respectively. Post graduate and research students, along with faculty across various institutions with background knowledge in Computer Science and/or Electronics Engineering are urged to attend the FDP to augment their horizon of knowledge, and receive an e-certificate on successfully completing the entire five-day FDP.
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Dr Sridharan R will be hosting a session arranged by the Department of Computer Science, SRM University-AP, Andhra Pradesh on December 3, 2020, at 11.30 AM. During the session, the revered mathematician will be delivering a lecture on “Baby steps towards Quantum Computing”. Dr Sridharan R researched on “Efficient placement of VMs and containers on cloud and edge resources” to obtain his Doctorate in Mathematics. In his career spanning over 25 years, his portfolio of research domains includes correctness Debugger and Profilers for Parallel and Distributed computing, as well as Grid and Cloud computing. Further, his current research interest involves Cloud Computing and Quantum Computing. Quantum computing is the use of quantum phenomena such as superposition and entanglement to perform computation. Capable of moving both backward and forward in time, quantum particles can exist in two places at the same time and even ‘teleport’. This subject has gained immense popularity in the modern days as Quantum computers will have enhanced efficiency by using quantum bits or qubits instead of the simple manipulation of ones and zeros.
Registration Link: Please Click Here