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Interdisciplinary School of Scientific Computing

(SAVITRIBAI PHULE PUNE UNIVERSITY)

Placement Brochure

Batch 2018-20

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Contents

FOREWORD ................................................................................................................. 3

ABOUT THE SCHOOL .................................................................................................... 4

WHY ISSC? ................................................................................................................... 6

ACADEMIC PROGRAMME............................................................................................. 7

IN-HOUSE FACULTY...................................................................................................... 8

VISITING FACULTY........................................................................................................ 9

CURRENT RESEARCH DOMAINS .................................................................................. 10

PROJECTS 2018-19 ..................................................................................................... 11

EMPLOYERS ............................................................................................................... 17

NOTABLE ALUMNI ..................................................................................................... 18

PLACEMENT COMMITTEE........................................................................................... 19

ADDRESS ................................................................................................................... 20

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FOREWORD

It gives me immense pleasure to introduce the students of

Interdisciplinary School of Scientific Computing (ISSC) for their

Industrial Training and Placement Programme at the M. Sc.

(Scientific Computing).

Students undergo full time industrial training during

fourth semester. This batch will go for training from January

2020 to June 2020

The uniqueness of the syllabus makes our students well

versed with the core concepts of computing as well as gives

them an exposure to the current technologies. Given an

opportunity, they will prove themselves to be assets to your

organization. Looking forward to a favorable interaction.

Dr. Smita Bedekar,

Director, ISSC

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ABOUT THE SCHOOL

There is now hardly an area of science or engineering that

does not use computers for calculations, experimentation, and

modeling. Problems in these areas are reduced to systems of

differential or linear equations. These systems are then solved

using numerical techniques, which are more dependent on the

system than the domain of the problem but these systems come

in all sizes and shapes. Solving them stretches the available

computer resources to their limits. Solution Viz. strange arrays

of number cannot be understood unless proper visualization

techniques are used. Data mining is necessary to use

information from large Chemical or Biological databases. Using

Mathematics and Statistics from a Machine learning

perspective to predict the next market movement or using the

data from the Large Hadron Collider to find a new particle. All

this has led to development of Scientific Computing as a

discipline in its own right. This discipline draws on domain

knowledge from Sciences and Engineering, and technology from

Computer Science to develop the best way to solve such

challenging problems.

Interdisciplinary School of Scientific Computing was

founded in 1994 to address the need of training and research

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in the field of Scientific Computing. It is a unique school of its

kind in the country and one of the few schools in the world.

Interdisciplinary School of Scientific Computing has established itself as one of the premier institutes to offer a first

of its kind two-year Interdisciplinary course at the post graduate level.

The M.Sc. programme trains students from a computer

science background in scientific computing. This programme

attempts to strike a balance between training in Sciences and

Computer Science. It emphasizes on fundamentals of a subject and prepares students to absorb specific technologies when

required. M.Sc. scientific computing students have opportunities in the IT industry or research.

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WHY ISSC?

Location

• Located in Pune, the heart of the IT HUB of India

• Surrounded by world-class R&D institutes such as IUCAA,

NCRA, TIFR, DAC, NCL, etc.

Andragogy

• Highly accomplished Professors with varied background in

Chemistry, Mathematics, Physics and Computer Science.

• Top tier organization visiting faculty

• Estimated faculty student ratio of 1:5, facilitating personal

attention

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ACADEMIC PROGRAMME

Master’s in Scientific Computing

Course Structure

SEMESTER-1 • Principles of Programing

languages -1

• Software Engineering

• Foundation of Scientific Computing -1

• Foundation of Scientific Computing-2

• Academic Project

SEMESTER-2 • Principles of Programing

languages -2

• Operating System

• Statistical Computing

• Numerical Methods-1

• Academic Project

SEMESTER-3 • Networking Concepts

• Soft Computing

• Artificial Intelligence

• Numerical Methods-2

• Parallel Computing and Grid Computing

SEMESTER-4 • Industry Project/

Research Project

For further details please visit following sites

http://issc.unipune.ac.in/attachments/Syllabus_Scientific_Computing.pdf

http://issc.unipune.ac.in/syllabus.php

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IN-HOUSE FACULTY

Distinguished Professor Dr. Gadre

• An Indian scientist working in computational quantum and theoretical chemistry for more than 30 years.

• He is the founder of ISSC.

• He has a PhD from Indian Institute of Technology

Kanpur, India and post-doctorate from the University of North Carolina and University of Houston U.S.A.

• He is the recipient of the prestigious Sir Shanti Swarup Bhatnagar Prize in Chemistry.

Dr. Bedekar

• She has a Ph.D. in Mathematics from IIT Kanpur on Parallel Algorithms for Hyperbolic Partial Differential Equations.

• She has been a faculty at the School since its inception and is the recipient of the prestigious IBM Faculty Award in 2007.

• Her research interests include Mathematical Modeling of Industrial problems and Cryptography.

Dr. Shah

• She has a Ph.D. in Physics from the University of Pune.

• She has post-doctoral experience from Iowa State University, University of Maryland, Duquesne University and Carnegie Mellon University in U.S.A.

• She was an Assistant Professor at the Institute of

Bioinformatics and Biotechnology, and is a faculty at the School since 2009.

• Her research is in the field of computational materials science focusing on nano-materials in electronic technology, biotechnology and aerospace technology.

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VISITING FACULTY

From Academia

• Dr. Shivprasad Madira (Ph.D. in Mathematics from IIT Kanpur)

• Mr. M. K. Tandon (Ex-Employee - Indian Institute of Tropical

Meteorology, IITM - Pune).

• Dr. Shailaja Shirwaikar (Ex-HOD Computer Science Department, Wadia

College, Pune).

• Ms. Sonali Gogate.

From Industry

• Mr. Nitin Vaze (Director Embilabs Software Solutions LLP)

• Dr. Abhijat Vichare (Scientist at Computational Research

Laboratories Pvt. Ltd)

• Ms. Kaveri Kale (UGC-NET Computer Science and Application, Ex-

Employee of Harman International, Pune, Visiting Faculty in IIIT, Pune).

• Mr. Abhijit Limaye (Ex-Employee, VP Qualys).

• Mr. Balaji Pachai (Blockchain Developer at Harbinger Systems Pvt. Ltd.).

• Mr. Avinash Vazratkar (Blockchain developer at Harbinger Systems).

• Mr. Pankaj Chandankar (Technical Lead, Perennial Systems,

Pune).

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CURRENT RESEARCH DOMAINS

• Computational Chemistry

• Computational Material Science

• Computational Physics

• Cryptography

• Astronomy

• Theory of Computation and Compiler Construction • Computational Finance using Machine Learning

• Multi-Objective Optimization for Resource Allocation • Mathematical modeling of Industrial problems • Mathematical modeling of music

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PROJECTS 2018-19

Project Title Constellation Finder Team Size 1 Platform Linux Technologies MATLAB, Python Description • The project can be broadly viewed as a method to

transform data in discrete form to some geometric form.

• As a black box, the machine takes, as its input, some raw data and a shape/function and outputs the shape superimposed on the data such that the control points of the shape corresponds to some data unit in the raw data.

• The raw data is eventually converted into a matrix (by finding its equivalent binary) of 0s and 1s. This matrix serves as a canvas with dots for us to connect them and find the desired shape.

Project Title Self-Driving Vehicle Team Size 4 Platform Linux, Windows Technologies C, Python Description • The vehicle is a prototype of a Self-Driving car

which is built using Arduino UNO, Ultrasonic Sensor, DC motors and a Bluetooth module.

• The vehicle detects and avoids the obstacles in its way.

• There is an android application to handle the vehicle remotely which connects to the vehicle using Bluetooth.

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Project Title Stock Market Prediction using Machine Learning Team Size 3 Platform Linux Technologies Python, Keras, Tensorflow Description • Prediction of Closing prices and range for a stock

primarily using Artificial Neural Networks and other Machine Learning Techniques.

Project Title Gnome Annotation using Protein Sequences and Structures (Bioinformatics)

Team Size 3 Platform Linux, Windows Technologies Python, BLAST utility Database MySQL Description • Map protein 3D structures on the genomes of

viruses and develop a graphical representation.

Project Title Data Preprocessing Tool for Barycentric Correction (IUCAA)

Team Size 1 Platform Linux, Windows Technologies Python Description • Astrosat is the first Multiwavelength Observatory

of India.

• There are five principal scientific payloads on board: SXT, LAXPCs, CZTI, UVIT and SSMs.

• In the existing system, Astrosat Barycentric Correction Code generates Orbit file for particular scientific instrument only such as telescope.

• In the proposed system we designed Generic Python Script for Barycentric Correction, for that we modified Event file and Orbit file using Linear Interpolation Method. FITS i.e. Flexible Image Transport System.

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Project Title EatFit Team Size 4 Platform Windows Technologies Java, AdobeXD, Android, Webhostinger Web

Services Database MySQL, SQLite Description • This is a system which assists user to reach a

fitness goal.

• A daily calorie goal is given to user.

• User’s calorie tracking is done by the system where user can keep track for foods one has eaten.

• Based on the user’s input data, system uses food suggestion algorithm to suggest best food to the user therefore, assisting the user in food consumption.

Project Title Canopus-Local Bazaar Team Size 4 Platform Linux Technologies React JS, Node JS, Express JS Database MongoDB Tools Description

Git Hub, Heroku, MongoDB Compass, Visual Studio Code

• Canopus is basically a web-based application

designed with the thought of providing a platform for the local shopkeepers to grow their sale.

• With this system the customers will be able to

search shops near them and also compare the products and place orders.

• On the other end the merchant will be able to see

the orders placed by the customers from their shop and also accept the orders and deliver the same.

• The application was hosted on Heroku.

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Project Title

Digital library for Visually Impaired

Team Size 4 Platform Linux Technologies Android Database SQLite Tools Android Studio Description • A digital library mobile application for the visually

impaired people.

• It uses Speech to Text (MBROLA algorithm) for

converting the commands given by a visually impaired person.

• It reads out books as output for the person using

Text to Speech (Google API).

• The system was also trained by setting the frequencies for few exceptional cases.

Project Title

Online Car Parking Reservation System

Team Size 4 Platform Linux Technologies Android Database MySQL, SQLite Description • We are building a system which will enable users

to reserve parking slot online.

• Using customer app, customer can reserve

parking slots for particular time.

• Parking owner can available there parking for online booking.

• System admin controls the whole system.

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Project Title IPL Player Auction Analysis Team Size 4 Platform Linux, Windows Technologies Java, HTML, CSS, Materialize CSS Database MySQL Tools Tomcat Description • Goal of this system is to provide a platform to

User (Owner and Analyzer) to create multiple team combination according to his budget.

• Auction analysis is web-based system which is

used to analysis of the players by its previous performance and base prizes.

• According to the User (Owner and Analyzer) they

can create various type of team combination of players within their budget of their choice’s players.

Project Title Assignment Evaluation System Team Size 4 Platform Linux Technologies Java, Java Server Pages Database MySQL Description • Assignment Evaluation system is used as inter

department system for teacher and student portal.

• It includes the uploading and submission of the assignments.

• Teacher uploads the assignment for specific

student that select the subject.

• The purpose of making this system is to create an efficient general assignment evaluation system which can simplify the process of uploading an assignment and receiving assignment by students.

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Project Title Virtual Reception Team Size 3 Platform Linux Technologies Java, Html CSS Database MySQL Tools Eclipse Description • The work of reception is to maintain details of

each and every workers and visitor.

• Maintaining the details of all of them manually becomes difficult task as user has to go through all the data manually.

• To overcome this issue, we have built a software for a particular environment which can store all the data in a particular database which reduces manpower.

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EMPLOYERS

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NOTABLE ALUMNI

Dr. Lalana Kagal (Class of 1994)

Principal Research Scientist, MIT Computer Science & Artificial

Intelligence Lab (USA)

Mr. Amit Bagaitkar (Class of 1998)

Director, Product Engineering, Harman International

Dr. V. Ganesh (Class of 2002)

Ph.D. - Computational Chemistry, Software architect,

Vlife Sciences

Dr. Rajnish Ranjan (Class of 2002)

Ph.D. - Computational Neuroscience, Working with Blue Brain project,

EPFL

Mr. Alok Damle (Class of 2002)

Founder, RULAsys Ltd.

Mr. Sidhu Kshetri (Class of 2003)

4 Guinness World Records (Karate) Technical Head, Tech Mahindra, Pune

Ms. Laxmi Phalak (Class of 2009)

Senior Software Engineer (Front End),

Asurion,

San Francisco Bay Area

Mr. Aniket Deole (Class of 2010)

Member of Technical staff, VMware,

San Francisco Bay Area

Dr. Kavishwar Wagholikar (M.B.B.S) (Class of 2010)

Ph.D. - GA-Fuzzy modeling for Medical Decision Support,

Instructor in Medicine, Harvard Medicine School

Ms. Kaveri Kale (Class of 2011)

UGC-NET CS and Application Visiting faculty, IIIT, Pune

Ex-Employee, Harman Connected Services, Pune

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PLACEMENT COMMITTEE

Placement Coordinators (Student)

Ms. Jyoti Saha

+91 8469 815490

sahajs@issc.unipune.ac.in/josaha1997@gmail.com

Ms. Tanvi Kulkarni

+91 9423 094686

kulkarnitv@issc.unipune.ac.in/tanukul1993@gmail.com

Placement Coordinators (Faculty)

Dr. Smita Bedekar (The Director)

+91 9225 670415

smitab@unipune.ac.in

Mr. Abdullah Ansari

+91 8237 398418

abdullah0096@gmail.com

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ADDRESS

Interdisciplinary School of Scientific Computing (ISSC),

1s t floor, CMS-ISSC building,

Behind Sevak Vihar, Opposite CINS,

Savitribai Phule Pune University,

Ganeshkhind, Pune – 411007

(020) 25691978

issc@unipune.ac.in

https://goo.gl/maps/uMHwzUctyNoeeUhG7