International Joint Internship training program on AI and Machine Learning for Urban Development and management
Date: 17 Sept. 2022 to 31 Dec 2022
Location: Shah and Anchor Kutchhi Engineering College
Organizers: The event was organized by Department of Electronics & Telecommunication Engineering, Shah and Anchor Kutchhi Engineering College and Department of Architecture (DiARC) the University of Naples "Federico II" Naples, Italy.
Objective: The primary objective of the event was to provide a platform for students and researchers to explore and apply AI and Machine Learning techniques to address challenges in urban development.
Participants: 60 Students (10 Project groups) of various Departments participated in this internship.
Keynote Speakers: The event featured renowned experts in the field of AI and urbandevelopment who delivered inspiring keynote speeches.
Panel Discussions: Expert panels discussed the current challenges and future prospects of AI and ML in urban development.
Speakers Details
1) Dr. Ferdinando Di Martino
2) Dr. Maria Cerreta
3) Dr Sabrina Sacco
4) Dr. Francesca Nocca
Internship coordinators:
1. Dr. Kalpana Chaudhari (Assistant Professor EXTC , SAKEC)
2. Mr. Rohan Borgali(Assistant Professor, EXTC SAKEC)
3. Mr. Bhushan pawar (Assistant Professor ,EXTC SAKEC)
4. Dr. Maria Cerreta (Associate Professor, DiARC University of Naples "Federico II")
5. Dr. Pasquale Detoro (Associate Professor , DiARC University of Naples "Federico II")
Workshops: Several hands-on workshops were conducted, focusing on practical applications of AI and ML in urban planning, transportation, sustainability, and more. Internship Opportunities: Students had the opportunity to connect with international
organizations for internships related to urban development using AI-ML. To guide them mentors are allocated to each batch.
Mentors: Dr. Kalpana Chaudhari, Asst. Prof., Electronics & Telecommunication Engineering
Mr. Rohan Borgalli, Asst. Prof., Electronics & Telecommunication Engineering
Mr. Bhushan Pawar, Asst. Prof., Electronics & Telecommunication Engineering
Research Presentations: Participants were encouraged to form inter-department teams and work on collaborative AI-ML projects with the guidance of mentors. Students finds the problem statement in discussion with mentor and the provided the solution. Students completed their projects and presented their projects and research findings in presentation and demonstration.
Networking: The event provided a platform for participants to network with professionals, academicians, and potential employers.
Outcomes:
Enhanced understanding of AI and ML applications in urban development. Promotion of international collaborations among students and institutions.
Opportunities for students to gain real-world experience through internships.
Knowledge sharing and exposure to the latest trends in AI-ML for urban development.
5 Project groups submitted their project to International Conference and 4 out of that got published in IEEE Conference. and also one project presented in Idea market session , SRI2023 ,Sustainability Research innovation , 26-30 June 2023 , Panama
city , Panama
Paper Publications List :
1. . Krishna Nair, Priyank Jhaveri , Rohan Borgali , Road Maintenance system Using
YOLOV7 , 2023 3 rd international conference on pervasive computing and social
networking , 19-20 June 2023
2. Saumya Gudelily, Sandhya Jaiswal , Rohan Borgali , Machne Learnng Framework
for Breast Cancer Detection , 3 rd international conference on Artificial intelligence and
smart energy IICAIS2023),IEEE xplore part number CFP OAB: ISBN: 978-1-6654-
6216-7
3. Dr. Kalpana Chaudhari, Dhruvi Joshi, Pratik Harugade, Kritik Jambusariya,Vaibhav
Tiwari ,Predicting Mumbai Air Quality index by Machine Learning , 2023 4 th
International conference for emerging technology (INCET)Belgaun, India,May26-28
2023 , 979-8-3503-3575-0, IEEE , DOI:1109/INCET57972.2023.10170420
