CSE organises webinar on “Nanonetworking in the Terahertz Band (and Beyond): From Nanomaterials to Macrosystems”

Department of Computer Science and Engineering organises a webinar on “Nanonetworking in the Terahertz Band (and Beyond): From Nanomaterials to Macrosystems” on February 20, 2021, at 7:00 PM IST. Dr Josep M Jornet, Associate Professor, Department of Electrical and Computer Engineering, Northeastern University, USA, is the distinguished speaker for the webinar.

Abstract: The possibility to control matter at the atomic and molecular scale opens the door to new physics, which can be leveraged into developing new types of devices with unprecedented capabilities. For the Communication community, the plasmonic properties of nanomaterials and nanostructures enable the development of miniature transceivers and antennas, which
intrinsically operate in uncharted spectral bands. The extremely small size of the devices and the unprecedentedly large bandwidths that these can excess opens the door to transformative applications across scales. In this talk, the state-of-the-art technology in electromagnetic nano communication and networks will be presented by following a bottom-up approach. The fundamental physical properties and capabilities of novel plasmonic transceivers, antennas and antenna arrays at terahertz and optical frequencies will be described. The propagation properties of the generated electromagnetic waves and their implications for practical communication systems will be presented. Starting from the hardware capabilities and the channel peculiarities, innovative solutions at the different layers of the protocol stack will be discussed, all defining a roadmap that can transform over ten years of fundamental research into meaningful societal applications.

About the Speaker: Dr Josep M. Jornet is an Associate Professor in the Department of Electrical and Computer Engineering, the Director of the Ultrabroadband Nanonetworking Laboratory and a member of the Institute for the Wireless Internet of Things and the SMART Center at Northeastern University, in Boston, USA. He obtained a Bachelor in Science (BS) in Telecommunication Engineering and a Masters (MSc) in Information and Communication Technologies from the Universitat Politecnica de Catalunya, Barcelona, Spain, in 2008. He received his Doctoral Degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, GA, in 2013. From August 2013 and August 2019, he was a Faculty at the Department of Electrical Engineering in the University at Buffalo, The State University of New York. His current research interests are in Terahertz-band communication networks, Wireless Nano-bio-communication Networks and the Internet of Nano-Things. In these areas, he has co-authored more than 140 peer-reviewed scientific
publications, one book, and has also been granted 4 US patents, which accumulate over 9,000 citations (h-index of 43) as of February 2021. He is serving as the lead PI on multiple grants from US federal agencies including the National Science Foundation, the Air Force Office of Scientific Research and the Air Force Research Laboratory. He is also the Co-Editor-in-Chief of Elsevier Nano Communication Networks Journal and serves in the Steering Committee of the ACM Conference Series on Nanoscale Computing and Communications. He is a recipient of the National Science
Foundation CAREER award and several other awards from IEEE, ACM and UB. He is a member of the ACM and a senior member of the IEEE.

Join the enlightening session with Dr Josep on February 20 and avail the opportunity to know the latest technology and innovations in the domain of Nanonetworking.

Department of Computer Science and Engineering is conducting a five-day workshop on the real-world applications in the Internet of things and Blockchain Technology from January 18-22, 2021. The workshop has been organised in association with APPLY VOLT. Eminent speakers from reputed institutes such as the University of California, San Diego, USA; IIT Kharagpur, NIT-Warangal, MNIT Jaipur will be sharing their valuable opinions and insights in the workshop. The registration for the workshop ends on January 16, 2021.

Internet of Things (IoT) is one of the most exciting trends and innovation in the recent history of technological advancement covering a wide range of applications like healthcare, entertainment, appliances control & utility services, security, defence, traffic management, transportation, home & industrial automation, remote monitoring, smart cities, smart farming, smart grid etc. IoT is the network of physical devices accessed through the Internet. IoT market is likely to experience year-on-year growth, rising to more than 50 billion devices, digitally connected across the globe by 2020, and representing $19 trillion in business opportunities. The graduate and postgraduate engineers have substantial job opportunities because of a wide range of IoT applications. Research scholars have a tremendous opportunity to work in different applications of IoT.

This workshop aims to impart knowledge about the real-time applications of IoT among students and the teaching community. Experts from academia and industry have been invited to deliver lectures about the current and emerging trends in IoT and Blockchain technology. The workshop will focus on theoretical and hands-on experience in IoT and Blockchain Technology to interface the things for different applications using Raspberry Pi/Arduino/Intel Galileo toolkits with devices such as LEDs, sensors, actuators etc. The theoretical session will be conducted in the morning hours and practical sessions in the afternoon. To conclude the workshop, a small project will be given to the students as a task, and the winners will be awarded a certificate of participants.

To register: http://bit.ly/SRMAP_IoT2020

Registration Closes on: January 16, 2021

Schedule of the Workshop: View Complete Schedule of the Workshop

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

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.

Registration Link: Please Click Here

Brochure: Please Click Here

Coordinators’ Details:
Dr Manikandan V M
Assistant Professor, Department of Computer Science and Engineering
EMAIL: manikandan.v@srmap.edu.in

Dr Sobin C C
Assistant Professor, Department of Computer Science and Engineering
EMAIL: sobin.c@srmap.edu.in

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.

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

Workshop Brochure