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Society for Computer Technology and Research's
PUNE INSTITUTE OF COMPUTER TECHNOLOGY
(An Autonomous Institute affiliated to Savitribai Phule Pune University)
AICTE APPROVED | ISO 9001:2015 | NAAC A+ Grade | NBA [All Eligible UG Programs]
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Society for Computer Technology and Research's
PUNE INSTITUTE OF COMPUTER TECHNOLOGY
AFFILIATED TO SPPU | AICTE APPROVED | ISO 9001:2015

Machine Learning and Computational Intelligence (MLCI)

Today’s most prominent buzzwords are Machine learning and Computational Intelligence which are dominating all the traditional systems built previously and offering to develop more efficient real-time systems. The research group comprises like-minded research groupings led by faculties including research scholars’ graduate students from interdisciplinary disciplines at PICT, Pune. The group works on designing machine learning models for complex, relational, unstructured, and heterogeneous data and use appropriate computational methods to design and develop real world applications.

A grand challenge for the CI community is to propose more efficient knowledge representation and retrieval structures, perhaps modelled on the associative memory of the brain using different knowledge representations for different purposes. Vector and similarity based models cannot yet replace complex frames in reasoning processes. Semantic networks could provide efficient association and inference mechanisms, have never been used on a large scale.

The new methodologies like Representation Learning, Deep Learning, Distributed and Parallel Learning, Transfer Learning, Active Learning as well as Kernel-based Learning will be developed by exploiting existing knowledge for designing the successful systems in different interdisciplinary application domains such as Banking, Finance, Services, Healthcare, Education and Agriculture.

Objectives:
    1. To conduct certificate courses, workshop on machine learning and computational intelligence
    2. To publish work in reputed journal/conferences
    3. To develop in house/ sponsored projects
    4. To arrange training programs by industry professionals on recent trends in machine learning and computational intelligence
    5. To initiate MOU and Consultancy
    6. To provide internships to students <
Areas of the Interest of the Group Include but not limited to
Methodologies Application Fields
● Decision Trees
● Hidden Markov Model
● Support Vector Machines
● Data Mining Representation Learning
● Deep Learning
● Distributed and Parallel Learning
● Transfer Learning
● Active Learning
● Kernel-based Learning
● Intelligent Traffic Data Analysis
● Signal and Image Analysis
● Human Activity Recognition
● Speech Recognition
● Recommendation Systems
● Healthcare
● Agriculture
● Finance
● Transportation

Sr. No.

Name

Member

Contact

Email ID

1

Dr. Balwant A. Sonkamble

Domain Leader and Member

8975948710

basonkamble@pict.edu

2

Dr. Kalyani Waghmare

Member

8975284900

kcwaghmare@pict.edu

3

Dr. Anupama Phakatkar

Member

9822648639

agphakatkar@pict.edu

4

Mr. Pankaj S. Patil

Member

9960198995

pspatil@pict.edu

Looking for Industry collaboration/ partnership

Major Equipments:

Laboratory Location: A1-314
Sr.No Laboratory Equipment Specification Quantity Amount
1 i5 Computers Dell optiplex 5000 12th Gen Intel® Core i5-12500, 8 GB RAM, 512 GB SSD, 20” Monitor, Dell USB opticalmouse-Black Dell Entry Keyboard 3-3-3 year Warrenty 20 11,85,900/-
2 i7 Computers Dell optiplex 4th Gen Intel® Core i7-4790, 8 GB RAM, 1 TB HDD, 20” Monitor, Dell USB opticalmouse-Black Dell Entry Keyboard 3-3-3 year Warrenty 05 2,41,500/-

Software:

Sr.No Tool Specification Quantity Amount
1 QT Creator Qt Creator provides a cross-platform, complete integrated development environment (IDE) for application developers to create applications for multiple desktop, embedded, and mobile device platforms, such as Android and iOS. 25 Open Source
2 Jupyter Notebook The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. 25 Open Source
3 VS Code Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux. 25 Open Source

Completed Sponsored Projects and STTPs

Sr.No Title Name of Principal Investigator/ Co-Investigator Amount in RS. Funding Agencies Duration

1

Developing Pedagogy for Effective Implementation of Outcome Based Education in Engineering Institutes

Dr. Balwant A. Sonkamble

3,66,166

AQIS AICTE

2019-20

2

High-Speed Xerox Machine for Examination

Dr. Balwant A. Sonkamble

1,00,000

SPPU QIP

2013-14

3

Research Trends in Machine Learning and Neural Network (RTMLNN-2012)

Dr. Balwant A. Sonkamble

60,000

SPPU QIP

2012-13

Sr. No.

Name of the faculty / student (Inventors)

Title

Application no.

Date of filing (Filed / Published / Granted)

Status: Applied / Published/ Granted / Licensed

1

Dr. Balwant A. Sonkamble

NSP-INTELLIGENT TECHNOLOGY: INTELLIGENT TECHNOLOGY TO ANALYSIS THE NEUROPHYSIOLOGICAL DATA USING SPATIOTEMPORAL PARCELLATION

202021007753-A

28/02/2020

Published

2

Mrs. Joglekar Usha

AUTOMATIC COMPUTERIZED INTELLIGENT WATER DISTRIBUTION SYSTEM FOR SAVING WATER

201941018868

28/06/2019

Published

Check following link:
Sr.No Name of the Faculty/Students Certification Academic Year
1 Dr. Balwant A. Sonkamble Distinction’ Grade at Cambridge International Certificate for Teachers and Trainers.
Coursera Course on “Practical Predictive Analytics: Models and Methods”
2009-10

2020-21
2 Dr. Mrs. K.C. Waghmare “Python for Data Science” NPTEL 4-Week course with silver medal and stood in first 5 %Topper.
3-week Coursera course on “Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization” with grade 96.6%
4-week Coursera courses on “Neural Network and Deep Learning” with grade 97.4%
6-weeks Coursera course on “Machine Learning a case study approach” with grade 97%
-
3 Dr. Mrs. Anupama Phakatkar Coursera course on “Introduction to Data Science in Python” with grade 100% Coursera course on “Applied Machine Learning in Python” with grade 97.06%
Coursera course on “Managing Big Data with MySQL” with grade 96%
Coursera course on “Computer Vision Basics” with grade 100%
“Python for Data Science” NPTEL 4-Week course
-
4 Mr. Tanpure Vishnu Coursera course on “Mathematics for Machine Learning: Linear Algebra”
Coursera course on “Matrix Methods”
Coursera course on “Mathematics for Machine Learning: Multivariate Calculus”
-
1Image

Dr. Shreepad Karmalkar conducted session on “effective and efficient teaching”

2Image

Dr. G. Janardhanan, NITTTR, Chennai conducting session on “Blended and Flipped Framework for Teaching and Learning”

3Image

Dr. Abhijat Vichare conducted session on “Directions for future plans related to Competency building”

4Image

Dr. V. Sanmughneethi, NITTTR, Chennai conducted session on “LMS based learning"

4Image

Inauguration session of RTMLNN 2012

Dr. B. A. Sonkamble
Email: basonkamble@pict.edu

 

Last updated: JUNE 21, 2024 at 10:15 am