Prof. Saurabh H. Pandit

Prof. Saurabh Hrishikesh Pandit

SM handles – www.linkedin.com/in/saurabh-hrishikesh-pandit-586580319

Profile

Educational Qualification

• M. Tech Data Science (Business Analytics) – MPSTME, NMIMS, Mumbai 2025
• M. Tech (Structures) – Sardar Patel College of Engineering, Mumbai 2014
• B.Tech. Civil Engineering – Datta Meghe College of Engineering, Airoli 2011
• Diploma Licentiate in Civil & Environmental Engineering – Veermata Jijabai Technological Institute (VJTI), Mumbai 2008

Ø Area of Research – Data Science, Deep Learning, Security, Civil Engineering

Ø Designation – Assistant Professor

Ø Department – Civil Engineering

Ø Membership – Indian Society of Structural Engineers (ISSE) – Life Member

Ø Basic Information:

• Email Id – saurabh.pandit@nmims.edu
• Landline extension – (022) 49330523
• Desk (location) – Faculty 502, Cubicle 2

Publications

Ø Conferences

• · Urban Traffic Flow Prediction Using LSTM: A Case Study on Glasgow with Benchmarking Against Alternative Models
  • Authors: Dvvit Patel, Arnav Bagwe, Saumil Sawant, Pranav Phatak, and Saurabh Pandit
  • Conference: 8th International Conference on Data Analytics and Cyber Security (DACS-2025), SRM University-AP, Andhra Pradesh, India
  • Details: To be published in Lecture Notes in Electrical Engineering (LNEE), Springer (Scopus Indexed)
• PhisDOM: Leak-safe, Multimodal Phishing Detection
  • Authors: Param Singh Makwana, Shrijesh Yadav, Deven Yewale, Aditya Sheth, and Saurabh Pandit
  • Conference: 8th International Conference on Data Analytics and Cyber Security (DACS-2025), SRM University-AP, Andhra Pradesh, India
  • Details: To be published in Lecture Notes in Electrical Engineering (LNEE), Springer (Scopus Indexed)
• An Iterative Framework for Deep Learning–Based IoT Intrusion Detection
  • Authors: Shlok Agheda, Krisha Chawan, Jude D’souza, and Saurabh Pandit
  • Conference: 8th International Conference on Data Analytics and Cyber Security (DACS-2025), SRM University-AP, Andhra Pradesh, India
  • Details: To be published in Lecture Notes in Electrical Engineering (LNEE), Springer (Scopus Indexed)
• Box Office Revenue Prediction: An Ensemble Learning Approach with Feature Engineering and Comprehensive Evaluation
  • Authors: Jash Ladhani, Manav Bhuta, Dhairya Shah, Aaryan Lunis, and Saurabh Pandit
  • Conference: 8th International Conference on Data Analytics and Cyber Security (DACS-2025), SRM University-AP, Andhra Pradesh, India
  • Details: To be published in Lecture Notes in Electrical Engineering (LNEE), Springer (Scopus Indexed)

Ø Chapters

• Author(s): Saurabh Pandit, Tanuja Bandivadekar, Manan Shah, Rutwej Goti, Yash Shah & Daanish Gandhi; Chapter Title: Fender Systems and Their Effects on Berthing Structures; Book Title: SUSTAINABILITY AND INNOVATIONS IN CIVIL ENGINEERING A Prespective of Research in Civil Engineering; Editor(s): Dr. Sunayana Sarkar, Dr. Manoj Anaokar, Dr. Meenal Mategaonkar; Publisher: SVKM NMIMS Mumbai – Imperial Publication; Publication Date: December 2023; ISBN: 9789391044602

Ø Certifications

• NPTEL Online Certifications

1. 1. Data Science for Engineers, hosted by IIT Madras.
   2. Geographic Information System, hosted by IIT Kharagpur.
   3. Design of Steel Structures, hosted by IIT Kharagpur.
   4. Computational Fluid Dynamics, hosted by IIT Madras.

• Faculty Development Program organized by E & ICT Academy, IIT Kanpur

1. 1. Data Science (ML & AI)
   2. Machine Learning with Python
   3. Generative AI
   4. Data Analytics Using AI
   5. Advance Excel with Power BI
   6.  Advance Excel with Data Visualization

• Generative & Agentic AI – Tools & Demo’s: Completed a National Level Faculty Development Program organized by the Department of CSE at SVNIT, Surat, in collaboration with IEEE Gujarat Section and Pantech Solutions.
• Modern Web Development & AI Integration: Successfully completed a Faculty Development Program under the Next Gen Employability Program by Edunet Foundation and EY.