School of Computational Sciences

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School of Computational Sciences

About The School

The School of Computational Sciences is a premier academic unit committed to excellence in teaching, research, and innovation in the field of computer science and its applications. With a forward-looking curriculum and dedicated faculty, the School has consistently attracted bright minds from across the region and has become a preferred destination for students aspiring to pursue a career in software and data sciences.

Over the past several years, the School has maintained an impressive admission track record, reflecting the trust and interest of students in its academic offerings. Our students have achieved significant success in securing placements in reputed software companies such as TCS, Infosys, Cognizant, Wipro, and several startups and product-based firms, owing to the strong industry-academia connect and skill-oriented training.

Achievements & Activities

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Laboratory Infrastructure

About the School

The School of Computational Sciences is a premier academic unit committed to excellence in teaching, research, and innovation in the field of computer science and its applications. With a forward-looking curriculum and dedicated faculty, the School has consistently attracted bright minds from across the region and has become a preferred destination for students aspiring to pursue a career in software and data sciences.

Over the past several years, the School has maintained an impressive admission track record, reflecting the trust and interest of students in its academic offerings. Our students have achieved significant success in securing placements in reputed software companies such as TCS, Infosys, Cognizant, Wipro, and several startups and product-based firms, owing to the strong industry-academia connect and skill-oriented training.
The School has also received a CSR grant from GS Lab, Pune, which has been instrumental in enhancing research infrastructure and supporting innovation-led activities. This support has further empowered faculty and students to engage in high-quality research, resulting in a good number of publications in reputed journals and conferences over the years.
From the academic year 2025–26, the School has launched a new undergraduate program—B.Sc. (Artificial Intelligence & Internet of Things) under the Apprenticeship Embedded Degree Program (AEDP) scheme. This program is designed to impart domain knowledge along with hands-on industry exposure through apprenticeships, bridging the gap between academics and the real-world IT environment.
With a vibrant academic culture, research-focused environment, and consistent industry engagement, the School of Computational Sciences continues to contribute meaningfully to the development of skilled professionals and researchers in the field of computing.

The School of Computational Sciences was established with the inception of this University (1994). The need of this School was for awareness of education in Computational Sciences in the region and assisting in the development of potential manpower of computer professionals from this rural area.The faculty of the School is young and dynamic with diverse academic background and invaluable practical experience. The School has the courses related to the latest trends and technologies associated with the computers. The School has well equipped laboratories with state of the art allied facilities.

Academics of the school are highly innovative and provide lot of scope to the students with practical skills. The evaluation of student consists of continuous internal evaluation and opens to the students as in well known institutes. Faculty members and students of the School participated and initiated several projects, attended conferences with the research related activities.
The School carries out teaching and research in the inter-disciplinary areas of computational Sciences, Computer Application &, database management & systems, high performance computing and artificial intelligence. The aim of the School is to innovate and integrate computational and analytical approaches adopted in different branches of sciences to find solutions. Rapid advancement in science and the cutting edge technologies enable and drive research in a big way, providing the opportunity to innovate. The School’s academic and research programs are currently focused on the core area of computational and systems with future emphasis on the study of complex systems, high density data analysis, and computational neurosciences.
Thrust Areas for research:
  • Machine/deep learning for Biological Data Analysis
  • Bi-molecular Simulations
  • High-Throughput Sequencing Data Analysis
  • Machine Learning and AI
  • Networking
  • Data mining
  • Text Mining
  • Remote Sensing and GIS
  • Counselling for placement to students in industry, and entering into academia and higher studies.etc.
  • Image Processing
  • Bioinformatics
  • Sound Processing
  • Computational Geo-Informatics
  • Development of Tools in Bioinformatics
  • Statistical Modeling
  • Complex System Studies
  • Crop Genetics & Informatics

EOA Report 2024-25
EOA Report 2023-24
Courses Offered

Computational Sciences course PG

Sr.No Name of the course Duration Intake Syllabus
1 M.C.A. 3 Years 60 —
2 M.Sc. (Computer Application – CA) 2 Years 20 —
3 M.Sc. (Data Science) 2 Years 20 —
4 M.Sc. (Computer Science) 2 Years 20 —

Computational Sciences Course

Sr.No Name of the course Duration Intake Syllabus
1 B.Sc. Data Science 4 Years — —
2 BCA 4 Years 60 —
3 B.Sc. AI & IoT (AEDP) 4 Years 30 —
Open Elective Courses offered by the School
Course objectives and Programme Objectives

PROGRAMME: M.Phil. (COMPUTER SCIENCE

PROGRAMME OBJECTIVES

  • PO- 1: It ensures a scholar for basics at research in Computer Science.
  • PO-2 :It prepares a scholar for higher level research in Computer Science.
  • PO-3 : It puts a good grounding on theoretical Computer Science.

PROGRAM SPECIFIC OUTCOME

  • Machine/deep learning for Biological Data Analysis
  • PSO-1: It leads a scholar to high level research.
  • PSO-2: It prepares a scholar to become a good academician, author of necessary papers.
  • PSO-3:It prepares a student to take minor research projects, to become project associate.

PROGRAMME: M.Sc. (Computer Application)

Program Outcomes (PO) for M .Sc.(CA) (2019-2020) On completion of M.Sc.(CA) program, the students are expected to

  • PO1 Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
  • PO2: Identify, formulate, research literature, and solve complex computing problem searching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • PO2: Identify, formulate, research literature, and solve complex computing problem searching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • PO3: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • PO4:Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • PO6: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.
  • PO7:Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
  • PO8: Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO9: Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • PO11:Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
  • PO12: Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

PROGRAM SPECIFIC OUTCOME: M.SC.(CA)

  • PSO1: Utilizing strong technical aptitude and domain knowledge to develop smart software solutions for the upliftment of society.
  • PSO2: It prepares a scholar to become a good academician, author of necessary papers.
  • PSO3:Showing continuous improvement in their professional career through life-long learning, appreciating human values and ethics.

PROGRAMME: M.SC (CS)

Program Outcomes (PO) for M.Sc.(CS) (2019-2020) On completion of M.Sc.(CS) program, the students are expected to

  • PO1: Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
  • PO2: Identify, formulate, research literature, and solve complex computing problem searching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • PO3:Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • PO4:Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5:Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • PO6:Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.
  • PO7:Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
  • PO8: Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO9:Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • PO10: Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
  • PO11:Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
  • PO12:Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

PROGRAM SPECIFIC OUTCOME: M.SC.(CS)

  • Post graduates of M.Sc.(CS) program will be
  • PSO1: Utilizing strong technical aptitude and domain knowledge to develop smart software solutions for the upliftment of society.
  • PSO-2: Applying research and entrepreneurial skills augmented with a rich set of communication, teamwork and leadership skills to excel in their profession.
  • PSO-3: Showing continuous improvement in their professional career through life-long learning, appreciating human values and ethics.

Program Outcomes (PO) for M .Sc.(CN) (2019-2020) On completion of M.Sc.(CN) program, the students are expected to

  • PO1: Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
  • PO2: Identify, formulate, research literature, and solve complex computing problem searching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • PO3:Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • PO4: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5:Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • PO6:Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.
  • PO7:Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
  • PO8: Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO9:Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • PO10: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
  • PO11:Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

PROGRAM SPECIFIC OUTCOME: M.SC.(CN)

  • Post graduates of M.Sc.(CN) program will be
  • PSO1: Utilizing strong technical aptitude and domain knowledge to develop smart software solutions for the upliftment of society.
  • PSO-2: Applying research and entrepreneurial skills augmented with a rich set of communication, teamwork and leadership skills to excel in their profession.
  • PSO-3: Showing continuous improvement in their professional career through life-long learning, appreciating human values and ethics

Program Outcomes (PO) for Master of Computer Applications (2019-2020) (MCA- 3 YEAR) On completion of MCA program, the students are expected to

  • PO1: Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
  • PO2: Identify, formulate, research literature, and solve complex computing problem searching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
  • PO3:Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • PO4:Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5:Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
  • PO6:Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.
  • PO7:Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
  • PO8: Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO9:Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • PO9:Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
  • PO10: Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
  • PO11:Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

PROGRAM SPECIFIC OUTCOME: MCA

  • Post graduates of MCA program will be
  • PEO1: Utilizing strong technical aptitude and domain knowledge to develop smart software solutions for the upliftment of society.
  • PEO-2: Applying research and entrepreneurial skills augmented with a rich set of communication, teamwork and leadership skills to excel in their profession.
  • PEO-3: Showing continuous improvement in their professional career through life-long learning, appreciating human values and ethics
Program Details

Ph.D. (Computer Science)

Ph.D. course aims to develop a dynamic researcher which enables them to adapt according to the ever changing needs in the field of computer science in the years to come. The competencies inculcated during the course can be transferred to other disciplines to enrich the content of various disciplines.Comprehending the knowledge of computers enables the researcher to adapt to ever changing nature in the field of computer science. The main objective of the program is to develop disciplined computer professionals to find out newareas for innovations and make them self-reliant.

M.Phil. (Computer Science)

The Master of Philosophy in Computer Science Program is aimed at developing students into a mature researcher. The program focuses on ability to make original scientific contributions that have both practical significance and a rigorous, elegant theoretical grounding.

M.Sc.(Computer Science)

This degree primarily aims at training for professional practice in the core computer science area. The program is designed so that the student will be able accept any challenges in the networking field. The course is of two years duration and constituted with 4 semesters.

M. Sc. (Computer Application)

This degree builds the student for higher studies in Computer Science and to be competent with the current race with the development of new computational technologies. The duration of the study is four semesters, which is normally completed in two years. There is a project component provided toa student at fourth semester with an opportunity for application development.

M. Sc. (Computer Network)

This degree primarily aims at training for professional practice in the computer networking area.The program is designed so that the student will be able accept any challenges in the networking field. The course is of two years duration and constituted with 4 semesters.

MCA

It covers 6 semesters and this is 3 years course, the main objective of this course is to accommodate the students from non-science background to the computer professional. Most of the course contents are highly competent with the market needs.
Teaching Faculty

Distinct features of the School of Chemical Sciences are as:

  • UGC-SAP and DST-FIST funded School.
  • Offers programmes for M.Sc., M.Phil and Ph.D. Degrees.
  • CBCS revised syllabus designed to compete with National and International standards.
  • Highly qualified faculty members with wide range of experience in India and abroad.
  • Skill based Industrial training/research project as a part of M.Sc. curriculum.
  • State of art infrastructural facilities which includes equipments like NMR-400 MHz, LCMS, GC, FT-IR, UV-Spectrometer and computer cluster.
  • To assist students to keep updated with 21st century knowledge.
  • Guest lecturers of eminent personalities in the fields of Science & Technology.
  • Counselling for placement to students in industry, and entering into academia and higher studies.etc.

Admission Procedure and Fee Structure

Admission Procedure and Fee Structure

Admissions Admission to the School is strictly based on merit on the basis of the marks obtained in the concerned graduate level examination following the rules and guidelines of the state Government.
The admission notification appears in the news papers and University Web site in the month of April/May every year. Admission to Ph.D. (Computer Science) are done through Ph.D. Entrance Test Every year and from merit score in PET.
Admission to M.Phil. (Computer Science) are done through Common Entrance Test for M.Phil. Every year and from merit score in CET.
Admissions to M.Sc.(CA), M.Sc.(CN)and M.Sc.(CS) are done departmentally on merit basis. Admissions to MCA are handled and administered by DTE, Mumbai and are trough the state-wide MCA-CET Entrance Test. Eligibility and Fees Any science graduate is eligible for seeking admission to both of the courses (CS, CA and CN).
More details of admission procedure and fees structure can be seen from the prospectus of Campus Schools of the University. The eligibility and admissions to the MCA program are through the MCA-CET conducted by the DTE (Department of Technical Education of Maharashtra State)
Academic Calendar

Admissions:

  • May – June

Teaching & Learning Process:

  • I & III Sem (Vth for MCA) June – Oct
  • II & IV Sem (VI th for MCA) Dec – March

Ist Test Exam:

  • End of August
  • End of February

IInd Test Exam

End of September

  • End of March

End Semester Exam:

  • I & III Sem - November
  • II & IV Sem - April

Declaration of Examination Result:

  • I & III Sem - Before 30th Nov
  • II & IV Sem - Before 30th April

Winter Vacation:

  • Nov / Dec

Summer Vacation:

  • May / June
CBCS Syllabus

CBCS Syllabus

Major Instruments and Software Available

Major Instruments and Software Available

Sr.No Name of the LAB/Instruments Quantity Remarks
1
Basic computing lab (Desktop i-5 machines)
24
General purpose under RUSA grants
2
Software Lab(Desktop i-7 machines)
24
Under RUSA grants
3
Open Source Software Lab
20
University Funds
4
Research and Project Lab
24
University Funds
5
ICT enabled classrooms
04
University Funds
6
ICT enabled Labs
02
RUSA funds
7
Free domain compilers and software are used for practical
Research Guides

Research Guides

Name of the Faculty Designation Area of Research Available vacancy
Prof.G.V. Chowdhary
Professor
Computer Networks
Nil
Prof. S.D.Khamitkar
Professor
Network security, Data mining
02
Dr.H.S.Fadewar
Asst. Professor
20
Nil
Dr.P.U.Bhalchandra
Asst. Professor
Data mining
Nil
Dr. N.K. Deshmukh
Asst. Professor
GIS bio informatics
Nil
Dr. S.N Lokhande
Asst. Professor
Networking Data Mining
Nil
Academic Collaborations and MoU

School of Computational Science and its faculty is having academic collaboration with Shri Guru Gobind Singhji Institute of Technology (SGGSIET) Vishnupuri, Nanded-431606

The Nature of collaboration: Faculty (Dr. G.V. Chowdhary) from school was appointed as Adjunct Professor at Electronics Engineering Department and Computer Science and Engineering from 2012 to2018.

Faculty from school and SGGIET institute participated for evaluations of Project examination of the school.

Director School of Computational Science is an Academic Council Member on SGGS IET senate nominated by the University.

In recent past, Shivaji University had collaborated by supporting Faculty Development Program on Cyber Security, 2019

IIT Bombay Spoken Tutorial Agreement

https://spoken-tutorial.org/media/news/736/736_H0uf3Tu.pdf

Student Support

Student Support

Mandatory Disclosure

Mandatory Disclosure

Research and Extension Activities

Recent Research contribution of the school

1
P.U.Bhalchandra, et al, Co- author, “Gold price parameters analysis using ANN”, International Journal of Information Systems, ISSN 2229-5429, impact factor 5.406, 2018.
2
P.U.Bhalchandra, et al, Co- author, “Understanding practical green management through energy efficiency awareness in loosely coupled computer environment of SRTM University, Nanded“, Published in UGC approved journal AIIRJ Special Issue No. 26,ISSN 2349-638x ,Impact Factor 4.574, 2018.
3
Dr. H. S. Fadewar3, Vaijinath V. Bhosle1, Dr.Vrushsen P. Pawar2 , Dr. N. S. Zulpe , Multi classification technique for logo based document verification” International Journal of Computer Engineering and Applications, Volume XI, Issue XI, Nov. 17, www.ijcea.com, ISSN 2321-3469, 2017.
4
Dr. H. S. Fadewar, Wleed Dahaiya,“Multimodal Biometric System: A Review”, International Journal of Research in Advance Engineering and Technology International Journal of Research in Advanced Engineering and Technology, ISSN: 2455-0876 Impact Factor: RJIF 5.44 www.newengineeringjournal.in Volume 4; Issue 1; January 2018; Page No. 25-31, 2018.
5
Nilesh Deshmukh, et al, co-author “Accuracy Assessment & Analysis of Land Use & Land Cover Classification (LU/LC) Using Machine Learning Algorithm SVM. “pp. 616-622, International Journal of Advance Engineering and Research Development Volume 4, Issue 10, ISSN 2348-4470,2017.
6
Dr. G. V. Chowdhary, et al, co-author ,“Comparative Analysis of Clustering Algorithms for Routing Protocols in Wireless Sensor Networks”, International Journal of computer and mathematical sciences, volume 6 issue 10, ISBN 978-81-934-288-9-4,2017.
7
Dr. G. V. Chowdhary, et al, co-author ,“Comparative Analysis of Clustering Algorithms for Routing Protocols in Wireless Sensor Networks”, International Journal of computer and mathematical sciences, volume 6 issue 10, ISBN 978-81-934-288-9-4,2017.
8
Mr. S.R. Mekewad, et al, Principal author “Visual Data Mining: A Review”, Elixir International Journal, ISSN: 2229-712X,2017.
9
Mr. S.R. Mekewad, et al, Principal author “Visual Data Mining: A Review”, Elixir International Journal, ISSN: 2229-712X,2017.
10
A.H.Sable, et al, Principal author, “An Adaptive Entropy Based Scale Invariant Face Recognition Fa International Journal for Pattern Recognition and Image Analysis, Pleiades Publisher(SCOPUS INDEXED).ce Altered by Plastic Surgery” ISSN: 1054-6618 (Print) 1555-6212 (Online), 2018.
11
A.H.Sable, et al, Principal author ,“Adaptive GLOH with PSO-Trained NN for the Recognition of Plastic Surgery Faces and their Types”, Bio-Algorithms and Med-Systems (BAMS] – De Gruyter. Accepted for Publication. 2019-04-01. (SCOPUS INDEXED), ISSN :1896-530X, 2019.
School Advisory Committee
Sr No Name of member Institute/Organization Designation/Position
1
Prof. A.W. Kiwalekar
Dr. BATU Lonere
Professor & Head CSE
2
Prof. D.B.Kulkarni
Walchand College of Engineering Sangli
Professor & Head In IT
3
Prof. R.R. Deshmukh
Dr. BAMU Aurangabad
Professor In CSE
4
Prof. V. M. Thakare
SGB University Amaravati
Professor and Head CSE
5
Prof. S.G. Ghumare
Govt. Engineering College Awasari
Professor and Head of Dept CSE
6
Mr. S.S.Kurundkar
Crave Infotech Pune
CEO
7
Mr. Ashok Chundurwar
Relinace Info Tech
Senior Manager
8
Dr. Ghongade Rajesh B.
Bharati Vidyapeeth
Professor in EXTC
Alumni of the School
Sr No Name of students placed Designation Name of the employer with contact details Package received Programme graduated from
1
Ms. Shweta Golhar
Software developer
Sialfin Technologies
–
MCA
2
Govind Kulkarni
Data Scientist
NDS infoserv
6.0 lakhs
PhD
3
Amol Thorat
Software developer
STW Services
–
MCA
4
Jyotsna Ambekar
Research Analyst
Anosales
0.96 Lakhs
MCA
5
Kailash Hambarde
Data Scientist
NDS Infoserv
6.0 Lakhs
M.Sc. & M. phil.
6
Pritam Tamsekar
Data Scientist
NDS Infoserv
8.0 lakhs
PhD
7
Shrikant Gamgamwar
PhP Developer
Jet Infoset
2.16 lakhs
MCA
8
Anand Johari
PhP Developer
Jet Infoset
0.96 lakhs
MCA
9
Mr Tejas Hiras
Trainee Software developer
Esskae Management Solutions Pvt LTD
1.08 lakhs
MCA
10
Mr Patil B.D
Teacher
Prof. Late Dhunda mahraj kamvi, degloor
Scale
M.Sc
11
Komal Jesu
Lecturer (CHB)
Netaji Subhash Chandra Bose college
–
MCA
12
Mohammad Ashfaque
Software Engineer
Mphasis
2.60 lakhs
MCA
Conferences, Workshops, Seminars organized
Sr No Title of Workshop Dates (from-to) Number of participants
1
Cloud Computing Workshop
19th & 20th Sept 2014.
2
National Symposium on Data Mining & Pattern Recognition (One day Workshop)
27th – 28th Feb 2015
40
3
CBCS Pattern evaluation & Recognition (One day Workshop)
23rd August 2016
63
4
Teacher’s Skill Development for New Courses & Technology (One Day National level workshop)
20th Jan 2017
30
5
Artificial intelligence & Machine Learning (One day State level Workshop)
18th August 2018
40
6
Digital Image Processing & it’s Application
8th October 2018
50
7
Self-Employment for website Development
28th Feb to 2nd March 2019
60
Guest and Visitors of the School
Sr No Name of Visitor/Guest Parent Organization Date of Visit Purpose of Visit
1
Dr. Sanjay Bokade
Principal RGIT Mumbai-53
01/07/2019
Ph.D Viva-voce Examination
2
Dr. K.M. Bhurchandi
Professor Dept of Electronics and telecommunications VNIT Nagpur
26/06/2019
Ph.D Viva-voce Examination
3
Dr. Mrs. V.H. Patil
Professor and Head CSE MCE Nashik-422003
24/06/2019
Ph.D Viva-voce Examination
4
Dr.Ukharande S.K.
Principal K.J. Somaiya Institute of Information Technology
21/06/2019
Ph.D Viva-voce Examination
5
Dr. Subhash K.Shinde
Professor &Vice Principal Department of Computer Engg.
Lokmanya Tilak College of Engineering
07/06/2019
Ph.D Viva-voce Examination
6
Dr. Sujata S. Kulkarni
Asst. Prof. S.P. College Andheri-Mumbai
07/06/2019
Ph.D Viva-voce Examination
7
Dr. S.G. Bhirud
Professor CSE Dept
VJTI,Matunga Mumbai-19
30/04/2019
Ph.D Viva-voce Examination
Skill Improvement Programs

Our school does not formally start any skill improvement programs. Our current programs include many skill related components which are taught as regular curriculum. In coming semester our school has proposed following skill based programs:

Sr No Program Duration Intake Employability/Skills Plan to start
1
PGDCA(Post Graduate Diploma in Computer Application)
01 Year
30
Data entry operations/System Integrator
Jan 2020
2
Certificate program in Cyber Security
06 month
30
Police department, Crime cell/Private Consultancy
Jan 2020
Placement Cell

Placement Cell

Faculty Profile

Dr. Santosh Dhondopant Khamitkar

Dr. Santosh Dhondopant Khamitkar

Professor
School of Computational Sciences
Qualifications: M.Sc.,Ph.D.
Specialization: Security, Multimedia systems processing
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Dr. Archana Harsing Sable

Dr. Archana Harsing Sable

Assistant Professor
School of Computational Sciences
Qualifications: M.E.,Ph.D.
Specialization: Digital Image Processing
Read More
Dr. Hanmant Sambhaji Fadewar

Dr. Hanmant Sambhaji Fadewar

Assistant Professor
School of Computational Sciences
Qualifications: M.Sc.,M.Phil.,Ph.D.
Specialization: Multimodal Biometric recognitions
Read More
Dr. Nilesh Kailashrao Deshmukh

Dr. Nilesh Kailashrao Deshmukh

Assistant Professor
School of Computational Sciences
Qualifications: M.Sc., M.Phil.,Ph.D.
Specialization: Data Mining and AI Technology
Read More
Dr. Parag Upendra Bhalchandra

Dr. Parag Upendra Bhalchandra

Assistant Professor
School of Computational Sciences
Qualifications: M.Sc., M.Phil.,Ph.D.
Specialization: Databases Management, Data Science
Read More
Dr. Sakharam Naryan Lokhande

Dr. Sakharam Naryan Lokhande

Assistant Professor
School of Computational Sciences
Qualifications: M.Sc.,M.Phil.,Ph.D.
Specialization: Data Sciences
Read More
Dr. Satishkumar Raghavrao Mekewad

Dr. Satishkumar Raghavrao Mekewad

Assistant Professor
School of Computational Sciences
Qualifications: MCA, Ph.D.
Specialization: Data Learning Programming Languages
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Dr. Girish Venkatesh Chowdhary

Dr. Girish Venkatesh Chowdhary

Professor and Director
School of Computational Sciences
Qualifications: M.E.,Ph.D.,CSE
Specialization: Computer Networks, loT and Security
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