Academic Positions

  • Present 2014

    Associate Professor

    Rizvi College of Engineering, Mumbai

  • 2014 2009

    Assistant Professor

    Rizvi College of Engineering, Mumbai

  • 2009 2008

    Lecturer

    Rizvi College of Engineering, Mumbai

  • Mid, 2008 2008

    Senior Software Developer

    SoftwareWorkshop.NET, Mumbai

Education & Training

  • M.E. 2013

    Master of Engineering (E&TC)

    Sardar Patel Institute of Technology, University of Mumbai.

  • B.E.2008

    Bachelor of Engineering (E&TC)

    S.S.P.M. COE, University of Mumbai.

Honors, Awards and Grants

  • 2014
    Web Chair of ICGTI 2014
    He was in-charge of the smooth flow of the online paper submission system for the Third International Conference on Global Technology Initiatives.www.rizvi-icgti.com
  • 2013
    Best Teacher Award in Computer Engineering Department
    On 5th September 2014, the Occasion of Teachers Day The Best Teacher Award was presented to Prof. Shiburaj by The Principal of Rizvi College of Engineering.
  • 2013
    Publication Chair of ICGTI 2013
    Headed the Publication committee of Second International Conference on Global Technology Initiatives.www.rizvi-icgti.com
  • 2012-2014
    Executive Editor of IJGTI.
    He is the Executive Editor of the International Journal of Global Technology Initiatives from 2012 to till date. www.ijgti.org.in
  • 2010
    Co-ordinator of 3rd Eye
    One week STTP on Emerging Trends on Research Ideas jointly organised by Department of Electronics & Electronics and Telecommunication Engineering.

Research Projects

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    Optimized Oral Exam Timetable Scheduler using Genetic Algorithm

    M.E. Project.

    Project Guide: Prof. K. T. Talele, SPIT, Mumbai.

    Scheduling oral exams timetable, for large number of courses and colleges within universities is a complex problem since it has to be solved by using traditional method which takes several days of iterative work. This project implements an effective solution to solve this problem by using Genetic Algorithm. An optimized timetable is produced which satisfies certain hard & soft constraints which distributes load to the examiners at the same time balancing the load amongst them and reducing the travel distance which in turn increases the usability of the generated schedule. The project implements two of the popular variants of genetic algorithm viz.: Steady State Genetic Algorithm (SSGA) & Enhanced Steady State Genetic Algorithm (ESSGA). The former is a special modification of the traditional genetic algorithm with only one pool for the process, while the later is an enhancement to SSGA which uses Fuzzy Logic to enhance the performance. After performing a set of tests using real data from several departments,subjects and colleges under the university, it is found that the ESSGA gains better timetable than other methods.

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    College ERP System

    All in one solution for day to day college management functions.

    A complete college management system. From student admissions to Alumni management. Attendance record, Faculty & Student Activity & performance evaluator. and lots of other features.

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    ProMart ERP

    ERP solution for Super Markets.

    This product provides a customized solution to super markets and shops as a stock management and ERP management. Clients: Om Super Market, Aufinja, Anja Jewellers and many more.

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    ProQuiz v2

    Professional Quiz Maker Software.

    ProQuiz Ver 2.0.0 is a Professional Quiz Maker Software capable of Generating Quizzes of all types by simple user interface. Its easy User-friendly interface makes it stand apart from other softwares in this category.

    • Multiple Choice Questions Supported
    • Fully Customizable
    • Detailed Summary Report
    • Reports Charts Displayed
    • Good Ajax Support
    • Timing Chart Display
    • Displays Online Users
    • Anti-Hack Feature
    • Automatic Update Notification Added to Admin Panel
    • Full Admin Customizable Control Panel

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    Audio Compression using Wavelets

    B.E. Final year Project.

    Guide: Prof. S.G. Hate

    Group Members: Jenniffer, Shiburaj, Prathamesh, Deepak, Pritesh

    This project implemented an innovative concept of using wavelets to compress audio. Psychoacuostic model of the human ears and huffman coding to get a very high compression ration of 6:1.

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Modified enhanced steady state genetic algorithm for Scheduling & Optimization problems

Shiburaj Pappu, K. T. Talele, Mehul K.
Conference Papers India Conference (INDICON), 2013 Annual IEEE , vol., no., pp.1,5, 13-15 Dec. 2013

Abstract

Scheduling & Optimization problems are iterative in nature. To find a ideal solution to which is a complex task. These types of problems may be effectively solved and optimal solutions which may be close to the ideal solution may be derived with the help of evolutionary algorithms like the Genetic Algorithm. This paper introduces a new variant of genetic algorithm called Modified Enhanced Steady State Genetic Algorithm (MESSGA) which uses Fuzzy Logic on crossover probability, mutation probability and insertion, for better convergence time. The results of this paper are studied on a common scheduling problem faced by all universities to assign externals for viva-vose or examination to other colleges under its jurisdiction.

Parallel Enhanced Steady State Genetic Algorithm for Exam Timetabling Problem

Shiburaj Pappu, Junaid Mandviwala, Amit Redkar
Conference Papers International Conference on Global Technology Initiatives 2012

Abstract

Optimization problems like Exam Timetabling Problems (ETTP) are a complex set of NP-Hard problems, solutions to which by using traditional methods may be impossible or time consuming. We describe an effective solution to solve this problem by using multiple instances of a special form of Genetic Algorithm named Enhanced Steady State Genetic algorithm (ESSGA) running in parallel. The main drawback of using any variant of genetic algorithm is its convergence time to obtain optimal solutions. In this paper we propose and implement a parallel system for executing the genetic algorithms to yield optimal solution in less time.

Satellite Image Compression using Compressive Sensing

Junaid Mandviwala, Bijith Marakarkandy,Shiburaj Pappu
Conference Papers International Conference on Global Technology Initiatives 2012

Abstract

Satellite images are multispectral or hyperspectral images, which are important for earth observation and military reconnaissance. However, there exists big incompatibility between the transmission capacity of satellite channel and large amount hyper spectral data. There are spatial and spectrum redundancy in hyper spectral image. As to exploit spectrum correlation sufficiently, it must be to pre-process hyper spectral image. In this paper, we propose a novel acceptable complexity lossy hyper spectral image compression scheme. Conventional approaches to sampling signals or images follow Shannon’s celebrated theorem, which says that the sampling rate must be at least twice the signal bandwidth (the so-called Nyquist rate). In fact, this principle underlies nearly all signal acquisition protocols used in consumer audio and visual electronics, medical imaging devices, radio receivers, and so on. Compressive sampling, also known as compressed sensing or CS, a novel sensing sampling paradigm that goes against the common wisdom in data acquisition. CS theory asserts that one can recover certain signals and images from far fewer samples or measurements than traditional methods used.

Image Compression using Compressive Sensing

Junaid Mandviwala, Bijith Marakarkandy,Shiburaj Pappu
Conference Papers International Conference & Workshop On Emerging Trends In Technology 2012

Abstract

There exists big incompatibility between the transmission capacity of satellite channel and large amount hyper spectral data. There are spatial and spectrum redundancy in hyper spectral image. As to exploit spectrum correlation sufficiently, it must be to pre-process hyper spectral image. In this paper, we propose a novel acceptable complexity lossy hyper spectral image compression scheme. Conventional approaches to sampling signals or images follow Shannon’s celebrated theorem, which says that the sampling rate must be at least twice the signal bandwidth (the so-called Nyquist rate). In fact, this principle underlies nearly all signal acquisition protocols used in consumer audio and visual electronics, medical imaging devices, radio receivers, and so on. Compressive sampling, also known as compressed sensing or CS, a novel sensing sampling paradigm that goes against the common wisdom in data acquisition. CS theory asserts that one can recover certain signals and images from far fewer samples or measurements than traditional methods used.

Application of Parallel Genetic Algorithm for Exam Timetabling Problem

Shiburaj Pappu, Kiran T. Talele, Junaid Mandviwala
Journal Paper International Journal of Scientific & Engineering Research, Volume 3, Issue 9, September-2012.

Abstract

Exam Timetabling Problems (ETTP) are a complex set of NP-Hard problems, solutions to which by using traditional methods may be impossible or time consuming. We describe an effective solution to solve this problem by using different form of Genet ic Algorithms like Steady State Genetic algorithm (SSGA), Simple Genetic Algorithm (SGA) and Generation Genetic Algorithm (GGA) running in parallel in a distributed nature. The main drawback of using any variant of genetic algorithm is its convergence time to obtain optima l solutions. In this paper we propose and implement a parallel system for executing the genetic algorithms to yield optimal solution in less time.

PARALLEL ENHANCED STEADY STATE GENETIC ALGORITHM

Shiburaj Pappu, Junaid Mandviwala, Amit Redkar
Journal Paper International Journal of Global Technology Initiatives, Volume 1, Issue 1, March 2012.

Abstract

Optimization problems like Exam Timetabling Problems (ETTP) are a complex set of NP-Hard problems, solutions to which by using traditional methods may be impossible or time consuming. We describe an effective solution to solve this problem by using multiple instances of a special form of Genetic Algorithm named Enhanced Steady State Genetic algorithm (ESSGA) running in parallel. The main drawback of using any variant of genetic algorithm is its convergence time to obtain optimal solutions. In this paper we propose and implement a parallel system for executing the genetic algorithms to yield optimal solution in less time.

Satellite Image Compression using Compressive Sensing

Junaid Mandviwala, Bijith Marakarkandy, Shiburaj Pappu
Journal Paper International Journal of Global Technology Initiatives, Volume 1, Issue 1, March 2012.

Abstract

Satellite images are multispectral or hyperspectral images, which are important for earth observation and military reconnaissance. However, there exists big incompatibility between the transmission capacity of satellite channel and large amount hyper spectral data. There are spatial and spectrum redundancy in hyper spectral image. As to exploit spectrum correlation sufficiently, it must be to pre-process hyper spectral image. In this paper, we propose a novel acceptable complexity lossy hyper spectral image compression scheme. Conventional approaches to sampling signals or images follow Shannon’s celebrated theorem, which says that the sampling rate must be at least twice the signal bandwidth (the so-called Nyquist rate). In fact, this principle underlies nearly all signal acquisition protocols used in consumer audio and visual electronics, medical imaging devices, radio receivers, and so on. Compressive sampling, also known as compressed sensing or CS, a novel sensing sampling paradigm that goes against the common wisdom in data acquisition. CS theory asserts that one can recover certain signals and images from far fewer samples or measurements than traditional methods used. Keywords: Image compression; compressive sensing (CS); sparsity; discrete cosine transform (DCT); isometry; orthogonal pursuit matching(OMP).

Currrent Teaching

  • Present 2008

    Computer Networks

    This subject gives an overview of the concepts and fundamentals of data communication and computer networks. Exposes students to the TCP/IP protocol suite. Various routing protocols & Network Designing.

  • Present 2011

    Advanced Internet Technology

    This subject introduces to the Technical aspect of Internet Technology and Advanced web programming. Study of various internet protocols, distributed computing and internet security are some of the topics covered.

  • Present 2014

    Web Techologies

    Introduction to HTML5, CCS3, Javascript, XML & PHP.

Teaching History

  • 2011 2008

    Mobile Communication Systems

    Basic of Telecommunication. GSM & CDMA standards. GPRS & EDGE Networks.

  • 2011 2008

    Discrete Time Signal Processing

    Various processing techniques of Digital Signals. Z Transform & Fourier Transform. DFT & FFT. Filter Design.

  • 2011 2010

    Signals and Systems

    Basics of Signals & Systems. Frequency Representation & Analysis of Analog Signals. Analog Filter Designs.

  • 2013 2011

    Advanced Computer Networks

    In depth study of Networking Protocols like ATM, SONET, X.25, Frame Relay etc. Unicast & Multicast Routing Protocols.

Technical Skills

  • Frameworks
    • Jquery & Jquery UI
    • Yii
    • CodeIgniter
    • BootStrap
    • ExtJS
  • Languages
    • C & C++
    • PHP
    • HTML & HTML5
    • XML
    • Javascript
    • CSS & CSS3
    • Tcl
    • TEX
    • SQL
  • Softwares
    • MS Office Products
    • Latex
    • Photoshop CC
    • Dreamweaver
    • Wordpress Customization
    • PhpDesigner
    • Web Server (Apache)
    • Database Server (MySQL,Sqlite)
    • FTP Server (Filezilla, ProFTPd)
    • Mail Server (hmail, POSTFIX)

At My Lab

You can find me at my lab located at Rizvi College of Engineering, Off Carter Road, Bandra(W), Mumbai 400050. I am incharge of the Computer Networking Lab on First Floor Room No. 102.

I am available in the lab every day from 8:30 AM to 4:30 PM.