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Artificial Intelligence & Machine Learning (AI&ML)
Professor Faculty Profile
Dr. Vivek R. Bhartiya
Professor
QUALIFICATION:
- Post Doctorate (Applied Statistics)
- PhD (Statistics)
- M Sc (Statistics)
Vidwan-ID : 568364
EXPERIENCE:
- Industry: 32 Years
Tata Consultancy Services(TCS)
Area of specialization
- Conceptualization for Global deployment.
- Global Client Relationship
- Enterprise Data Management and Analytics solutions, Audit, Architecting
Projects Undertaken - Business Intelligence (BI) and Analytics
Key Engagement
- USA
- Netherland
- Portugal
- South Africa
- Turkey
- Australia
- India
ACHIVEMENT:
- Advanced Training-Biostatistics
Paper Published/Presented
- The Chemical and Biological Warfare Environment: Psychological Responses and Social
Supports in a High‐Stress Environment (Oct. 1992) Journal of Applied Social Psychology,Vol
22, Issue 20, Carol S. Fullerton Robert J. Ursano Tzu‐Cheg Kao Vivek R. Bhartiya
- Data Management – Backbone of Digital Economy, CSI Communications (Nov. 2016)
–Published as Cover Story
- TTransforming the Data Deluge into Business Value – IT Now ( Sept. 2016)
- TCS White Paper :Leveraging Effective Data Management to create value in the Data Driven
Economy (July 2016)
- Google
Scholar Link
Conferences and Paper Presentation
- TDWI World Conference, Las Vegas ( 2006) - The Data Warehousing Institute (TDWI)World
Conference attended in Las Vegas USA and represented TCS
- Business Object International Conference Melbourne, Australia ( 2007) - Paper Presented
and Represented TCS
Training and Certifications
- SAS Programming (Base, Stats, Data Processing) – 1991-92- SAS Institute, USA
- SAS Boot Camp (Data Warehousing, Business Intelligence) -1997
Membership
- Computer Society of India – Life member
- ISTE; Life Membership
Associate Professor Faculty Profile
EXPERIENCE:
Area of specialization
- Machine Learning
- Algorithm
- Artificial Intelligence
Positions Held
- Dy. HoD COMP Jan 2017-Jun 2020, Jul 2023-Jun 2024
- NBA Coordinator 2013-2024
ACHIVEMENT:
- 2 Patent (German and Indian)
- 1 Copyright
- Member BoS AI&ML, Govt Poly Mumbai
- Delivered session at peer institutes in Mumbai and Maharashtra
- Paper Setter UoM
- UG approved Teacher w.e.f Jul 2008
- PG approved Teacher w.e.f Mar 2015 (4 completed thesis) 4 more guided
- 43 UG projects guided
- GATE qualified (2018)
- GMAT score 98.8 percentile (2005)
- NPTEL Certification (Python for Data Science, Fundamentals of Algorithm) topper 2023, 2024
- NPTEL Courses (Essential Mathematics for ML, Design and Analysis of Algorithms, Programming DS and
Algorithms using Python, Introduction to ML)
- Coursera Course (Intro to Applied ML, NN and DL, Understanding and Visualizing Data with Python)
- Books authored (Deep Learning, Advanced AI, Quantum Computing, Graph Data Science, AI for
financial and Banking applications, Social Network Analysis, Reinforcement Learning, Database
Management System, Machine Learning, Quantum AI, Data Modeling and Visualization, Information
Retrieval, Industrial IoT)
- Edited Books (Quantum Computing Unleashed: Design, Models and Applications)
- Mentor NPTEL courses (Intro to OR)
- Minor Research Grant of 35,000/-
- Consultancy training (13500/-), development (48000/-), development (65000/-)
- 2 week ISTE approved STTP coordinator Dec 2015
- Conference CoConvenor 2018, 2019, 2020, 2024 and Session Chair
- IEEE Conference Reviewer
- Evaluator Hackanova, Toycathon, prescreening SIH
- LoR to 150+ students
Paper Published/Presented
- Paper published: 100
- International/National Conference: 63
- Journals: 37
Project Guided
- UG Projects:- 80
- PG Projects:- 05
- Ph.D Project :- 01
- Google
Scholar Link
Dr. Deepali Bongulwar
Associate Professor
QUALIFICATION:
- Ph.D.(Electronics and Communication Engineering)
- M.E.[Electronics (Specialisation in Computer Technology)]
- B.E(Electronics)
Profile Link
Vidwan-ID : 610701
EXPERIENCE:
- Teaching: 14 Years
- Industry: 2 Years
Area of specialization
- Deep Learning
- Machine Learning
- Computer Vision
- Image Processing
- Cyber Security
- Medical Imaging
- Generative Adversarial Network (GAN)
ACHIVEMENT:
- Patent (Published)
- Paper Setter UoM
- 04 UG projects guided
- Books authored AI and (Deep Learning)
- Mentor NPTEL courses (Intro to Python)
- Session Chair 2025
- Reviewer
Paper Published/Presented
- Paper published: 11
- Book Chapter published: 02
- International/National Conference: 04
- Journals: 07
Project Guided
- UG Projects:- 04
- Google
Scholar Link
Assistant Professor Faculty Profile
EXPERIENCE:
AREA OF SPECIALIZATION:
- Computer Networks
- Communication
- Data Structures & Algorithms
- Database Management
ACHIEVEMENTS:
- Project Guided at UG level: 10
Papers published / Presented :
EXPERIENCE:
AREA OF SPECIALIZATION:
- Software Engineering, Microprocessor
Papers published / Presented :
EXPERIENCE:
- Teaching: 03 Years
- Industry: 09 Years
AREA OF SPECIALIZATION:
- Machine learning
- Artificial intelligence
- Computer Networks
Papers published / Presented :
EXPERIENCE:
AREA OF SPECIALIZATION:
- Network Security
- Artificial intelligence
- Software Testing
Papers published / Presented :
EXPERIENCE:
AREA OF SPECIALIZATION:
- Machine Learning
- Computer Networking & Security
Achievements :
- Trainer at Central Bank of India for Computer Networking and Cybersecurity.
- AICTE-ISTE approved programme on “Intelligent Computing using python” from 22.12.2021 to
29.12.2021
- Course completion certificate on Basics of python from Infosys Springboard.
- Successfully Completed Python Course from Coursera.
- Successfully Completed Microsoft Security Fundamental Certification.
Papers published / Presented :
- Multion W - IC-ICN 2023 “Classification Algorithm on Chronic Diseases using
EHR”
- Multion W - IC-ICN 2023 “Using Motion Capturing Technology for Visulaization
Requirements
- IEEE (ICCCI -2021) paper "Predicitng chronic disease using binary classification"
- IEEE (INOCON - 2020) Publication "Predicting Chronic Kidney disease using electronic health
record"
- IRJET Publication "An Image Cryptography using Henon Map and ArnoldCat Map"
- Multicon-W "An Image Encryption and Decryption using Chaotic Technique"(CRTCE 2018)
- Google
Scholar Link
EXPERIENCE:
AREA OF SPECIALIZATION:
- Computer Vision
Papers published / Presented :
EXPERIENCE:
AREA OF SPECIALIZATION:
- Machine Learning
Papers published / Presented :
EXPERIENCE:
AREA OF SPECIALIZATION:
- Python Programming
- Machine Learning
- Deep Learning
- Data Visualization
Papers published / Presented :
EXPERIENCE:
AREA OF SPECIALIZATION:
- Data Structure
- Machine Learning
- Artificial Intelligence
Papers published / Presented :
