MPSTME Monday Morning Chronicle.

 

From Vice Chancellor's Desk 

Research 

 ●  Vikram Kulkarni (Department of Information Technology) co-authored a paper titled "Power and Delay Efficient Haar Wavelet Transform for Image Processing Application", Journal of Circuits, Systems, and Computers, Vol. 31, No. 8 (2022) 2220001, SCI Expanded, IF: 1.3.The proposed Haar wavelet architecture is implemented in gate-level Verilog HDL and synthesized with UMC 90-nm technology using Cadence RC compiler. When compared to the existing designs, the proposed Haar DWT architecture synthesis results show a reduction in latency of 32.32% and 31.46% of circuit area.

 https://doi.org/10.1142/S0218126622200018,  

 The Institute of Electronics and Telecommunication Engineers, MPSTME in association with the Electronics and Telecommunication Department organised U’lectro 2022– An inter-college project display competition on 15^th March 2022, which was designed to showcase the technical skills of graduate and under-graduate students belonging to any engineering stream, with the aim to provide such projects an exhibition platform, which were evaluated by an esteemed panel of judges. We had 61 participants with a total of 21 teams, out of which best 7 teams were shortlisted for the final round. The projects were based on various domains like Machine learning, Deep Learning, Artificial Intelligence, IoT, Wireless communications, Robotics, Embedded Systems and many more.  The judges for the event were Dr. Preetida Jani, professor of Sardar Patel Institute of Technology, Mr. Sachin Wagle, from L&T Defence Technology, Powai,  and Captain Aman Johri , an entrepreneur of Jatayu Unmanned System.

   MPSTME creates a unique record at the Harvard World MUN- SVC (Social Venture Challenge), 2022

• All the 3 awards at the Social Venture challenge awarded to MPSTME, which created a unique record at the Harvard World MUN- SVC, 2022 under the mentorship of Dr. Nikhil Gala (Faculty Advisor, MUN Society, MPSTME)
• TEAM 1:  Tvisha Shah (BTech 6 Years Integrated Program 3rd Year) and Bhagyashree Birje(  MBA Tech 1st year), won for their venture MAARG- which is a not-for-profit organization facilitating language-inclusive career awareness programs for Indian underprivileged students.
• TEAM 2: Amal Kakade, (BTech 3rd year) and Jash Damani ( BTech 3rd year) for Catalyst - which is a social prescription platform in India that will create a safe space for people to explore hobbies, connect, and find ways to volunteer and engage with the community with the aim of combating loneliness, alleviating social anxiety, and fostering overall improvements to their mental well-being.
• Team 3: Ishita Bhutaney (BTech 1st year), won for Assimilate which aims to accelerate the liberation of the LGBTQ+ community through active engagement in creating allies and a safer environment for the youth.

• Bhavik Dadlani, (BTech 3rd year) won verbal commendation in WHO committee.

 A total of *$10,550* (8 lakhs) has been awarded to MPSTME winners                                                 

 Student Research

 6 papers from Students and a Faculty member, Dr. V. Kulkarni of Department of Information Technology, MPSTME were presented and published  in IEEE Conference "3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)" conducted on the dates 16^th -17^th  Dec 2021 hosted by Dept of CSE,  Galgotias College of Engineering and Technology, Noida.

1. N. Kulkarni, B. Patanwadia and V. Kulkarni, "A Survey on Machine Learning Techniques for Breast Cancer Diagnosis and Detection," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 425-427, doi: 10.1109/ICAC3N53548.2021.9725448.

2. K. Anklesaria, Z. Desai, V. Kulkarni and H. Balasubramaniam, "A Survey on Machine Learning Algorithms for Detecting Fake Instagram Accounts," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 141-144, doi: 10.1109/ICAC3N53548.2021.9725724.
3. R. Parikh, Y. Sangle, V. Kulkarni and J. Sutaria, "A Review on Machine-Learning Techniques for Estimation of Bitcoin Pricing," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 1493-1495, doi: 10.1109/ICAC3N53548.2021.9725763.
4. S. Tiwari, S. Shah, V. Kulkarni and P. H. Patil, "A Review on Green Computing Implementation Using Efficient Techniques," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 1496-1501, doi: 10.1109/ICAC3N53548.2021.9725556.
5. I. Lokegaonkar, D. Nair and V. Kulkarni, "Enhancement of Cache Memory Performance," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 1490-1492, doi: 10.1109/ICAC3N53548.2021.9725639.
6. N. Singhvi, H. Bhavsar, Y. Shah and V. Kulkarni, "Pipeline Hazards and its Resolutions," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 1473-1478, doi: 10.1109/ICAC3N53548.2021.9725538.