University Department of Information & Communication Technology (UDICT)
🚀 Important Update: • UDICT has been upgraded to Institute of Information and Communication Technology (IICT) • The official IICT website is currently under development. • Stay tuned for more updates.
The M.Tech. in Geoinformatics program offers Outcome based education with Choice Based Credit System. The aim of this program is to prepare a professionally competent student with technological leadership skills ready to work in a multidisciplinary work environment across the globe.
The UDICT has taken a novel initiative in changing the paradigm of education in the recent scenario of Industry 4.0. In this scenario, there is a surge in the use of “Smart” technologies i.e., cloud computing, big data analytics, networked machines and processes. Thus, there is a need for trained human resources in the domains of AIML, IoT Geoinformatics etc.
The program makes the students ready for positions in a wide array of industries and MNCs, as well as, opening the doors to the start-up universe. A lucid blend of fundamental and recent technologies is offered to the students for enhancing their skills for employability.
Artificial intelligence and machine learning are helping people and businesses achieve key goals, obtain actionable insights, drive critical decisions, and create exciting, new, and innovative products and services.
There are several sensors, satellites, simulators etc. which are generating several petabytes of data every hour. For such systems, the physics is understood, but the mathematical or statistical model is required to make predictions, classifications or recommendations. Artificial Intelligence and Machine Learning (AI and ML) are techniques to help a user of the data to arrive at decisions based on the black box model arrived at through these techniques. Several real-world applications of AI and ML exist, which cross the silos of a single discipline of engineering and find applications in day-to-day life as well as for sustainable and safe planning, and decision making.
The PG Diploma program in Artificial Intelligence and Machine Learning, offers an opportunity to the fresh Engineering Graduates of all disciplines to upgrade their skills in programming, data handling, data science and application of artificial intelligence to benchmark datasets and discipline specific use cases. The real-world case studies across disciplines will equip the student with capabilities to make predictions, classifications and decisions.
The PG Diploma program will open the gates of opportunities for students where the industry or research requirements are for AI and ML based techniques.
Geoinformatics is an interdisciplinary field integrating Civil Engineering, Electronics and Telecommunications, Computer Science and Information Technology. It involves the science of collecting geospatial data, interpreting and analysing them, making maps on the desktop and transmitting them over the internet (e.g. Google Maps, Bing Maps, Apple Maps). With several sensors and satellites collecting large volumes of data, it has become extremely relevant to process these with modern algorithms and techniques and help the administration in making predictions and sustainable decisions.
The M. Tech. In Geoinformatics program is open for students with B. E. / B. Tech. Degrees in Civil Engineering, Computer Science and Engineering, Information Technology; and Electronics & Telecommunications Engineering. Further, the program is also open to students with M. Sc. Mathematics and Physics, who are open to learning coding and playing with large volumes of data.
Vision of University Department of Information and Communication Technology
The UDICT shall establish a center-of-excellence with social and global approaches for the development of trained human resources with professional approaches to innovation, entrepreneurship, and knowledge of emergent technologies for industry and research in diverse domains.
Mission of University Department of Information and Communication Technology
The UDICT shall
1.Empower students with human values, environment-friendly qualities and ethical2.Create technocrats for a sustainable growth in the industrial sector with an interdisciplinary aptitude3.Hone their skills for becoming experts with state-of-art knowledge in social perspectives and research directions
Eligibility conditions and requirements for admissions
1. Maharashtra State Candidate.
The Candidate should be an Indian National and having domicile of Maharashtra state and/or born in Maharashtra state.
Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and the candidate should have appeared in MGMU - CET 2022/ MHT-CET 2022/PERA CET 2022 and should obtain non zero score in MGMU - CET 2022/ MHT-CET 2020/PERA CET 2020. However, preference shall be given to the candidate obtaining non-zero positive score in MGMU - CET 2022 over the candidates who obtained non-zero score in MHT-CET 2022/ PERA-CET 2022.
OR
Passed Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only).
2. All India Candidates
The Candidate should be an Indian
Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and candidate should have appeared in MGMU - CET 2022/ JEE Mains Paper-I/ MHT-CET 2022/ PERA-CET 2022 and should obtain non-zero score in MGMU - CET 2022/ JEE Mains Paper-I/ MHT-CET 2022/ PERA-CET 2022. However, preference shall be given to the candidate obtaining non-zero positive score in JEE Mains Paper-I over the candidates who obtained non-zero score in MGMU - CET 2022/ MHT-CET 2022/ PERA-CET 2022.
OR
Passed Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only).
3. NRI* Candidate
The candidate should be an Indian National
The candidate should have passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks in the above subjects taken together.
Note: *NRI Seats are based on AICTE norms
Key Features:
Highly qualified and experienced faculty
Collaboration and industry visits with MNCs for internship/sponsored projects
Industry oriented subjects designed in consultation with industry experts
Blended learning approach
Guest lectures by industry experts
Six months internship as a part of curriculum in the last semester in relevant industry in various IT domains like
Artificial intelligence, Machine Learning, IoT, Blockchain, Big Data Analytics, AR VR etc.
Well-equipped Laboratories to undertake the projects in the domain of Artificial intelligence, Machine Learning, IoT, Blockchain, Big Data Analytics, AR VR etc.
Additional IT support through Innovation Incubation Research Center (IIRC) which caters to specialized computational needs to work on automotive & transport simulation projects using Advanced Driver-Assistance Systems (ADAS) machinery Studio
Collaboration with IIT Bombay Virtual Lab to provide virtual access to a variety of sophisticated software laboratories
Red Hat Academy
Availability of advanced skill-oriented interdisciplinary courses
Professional body membership by faculty and students (IEEE, CSI, ACM, ISTE)
Director- HRDC & Professor, CSE, Christ University Emaild id: xavier.c@christuniversity.in, Phone No: 9840128586
7
Dr. Surya Durbha
Professor, CSRE, IIT Mumbai Emaild id: sdurbha@iitb.ac.in, Phone No: 8369258956
SR.NO
NAME
Organization
1
Dr. S. C. Tamane
Professor and HoD, UDICT, MGM University.
2
Dr. Suddhasheel Ghosh
Associate Professor, Department of Civil Engineering, JNEC and SPOC, Engineering Exploration Programme at JNEC
3
Dr. Parminder Kaur
Assistant Professor, Department
4
Dr. Xavier Chelladurai
Director, HRDC and Professor, CSE, Christ University, Bangalore.
5
Dr. Tarun Pratap Singh
Director, Symbiosis Institute of Geoinformatics, Pune
6
Mr. Gaurav Somvanshi
CEO and Co-founder, Emertech Innovations, Mumbai
7
Mr. Bharat Kumar Dasa
CEO and Co-founder, Emertech Innovations, Mumbai
8
Ms Neha Kadhre
B. Tech. Final Year (Civil Engg.) student.
Industry Collaboration
Department is having interaction with many IT companies. Well-known companies from this region are having academic collaborations through Internships, MoUs and live Undergraduate final year projects. Some of the organizations are:
Infosys Campus Connect
NIBL, Aurangabad
UiPath Academic Alliance
Xento Systems Pune
Red Hat, Australia
Regal Soft India, Aurangabad
GeoTech GIS Training Institute & Consultancy Services, Aurangabad
Unnati Development and Training Centre Pvt Ltd, Aurangabad
Virtual Lab
Spoken Tutorial
Our Recruiters
SR. NO
Name of the Company
SR. NO
Name of the Company
1
AMDOCS
18
Vodafone
2
Tech Mahindra
19
Webtech Developer
3
TATA Consultancy Services Ltd.
20
Reliance Jio
4
Infosys
21
Atos- Syntel
5
AMAZON
22
Excelsior Research Pvt. Ltd.
6
Inteliment Technologies
23
Extramarks Education India Pvt. Ltd.
7
Prototech Solution
24
JARO Education>
8
Capegemini
25
Sanveo
9
RSL Labs Software
26
ITC InfoTech
10
Dassault Systems
27
BUZIBRAINS
11
Demand Farm
28
Findability Sciences Pvt. Ltd.
12
TAVISCA Solution Pvt. Ltd.
29
Jones Lang LaSalle Incorporated or JLL
13
Wipro
30
PinClick
14
Kanerika Software Pvt. Ltd.
31
Steinmetz Integrated Software Solutions
15
Aurus Inc
32
Growth NEST Venture Capital
16
SAMSUNG R & D
33
Dhoot Transmissions Pvt. Ltd.
17
HSBC India
34
DIP Technologies
Dr. Sharvari Tamane
Name: Dr. Sharvari C. Tamane
Designation: Professor
Qualification: Ph.D. (CSE)
Specialization: Big Data, Cloud Computing, Network Security
Teaching Experience: 27 years 07 months
Industrial Experience: 1.5 years
International Publications: 82
National Publications: 15
Books Publications: 4
Email: hodudict@mgmu.ac.in
Dr. Parminder Dhingra
Name: Dr. Parminder Kaur
Designation: Assistant Professor
Qualification: Ph.D. (CSE)
Specialization: Remote Sensing and Deep Learning
Teaching Experience: 25 years
International Publications: 24
National Publications: 4
Books Publications: 1
Email: pdhingra@mgmu.ac.in
Vijaya Ahire
Name: Vijaya K. Ahire
Designation: Assistant Professor
Qualification: ME CSE
Specialization: Image Processing
Teaching Experience: 20 years 3 months
International Publications: 6
Email: vahire@mgmu.ac.in
Sangita Bhasme
Name: Sangita Bhasme
Designation: Assistant Professor
Qualification: ME CSE
Specialization: Discrete Mathematics, Digital Electronics, Cryptography, Theory of computation
Teaching Experience: 17 years 8 months
International Publications: 1
Email: sbhasme@mgmu.ac.in
Ansari Mohsin
Name: Ansari Mohammad Mohsin
Designation: Assistant Professor
Qualification: ME CSE
Specialization: Software Engineering, GIS, Cyber Laws, C Programming, STQA, Green IT, BHR, OBE
Teaching Experience: 19 years 8 months
Industrial Experience: 1 years
International Publications: 2
National Publications: 2
Email: mansari@mgmu.ac.in
Madhuri Kawarkhe
Modal title
Name: Madhuri Kawarkhe
Designation: Assistant Professor
Qualification: ME CSE
Specialization: Data Structures, Design and analysis of alog., C, C++. Comp. Networks
Specialization: Web Technology, Computer Network, Design Analysis and Algorithms , DBMS
Teaching Experience: 8 Years
International Publications: 3
Email: ddubey@mgmu.ac.in
Aditi Jadhav
Name: Aditi Jadhav
Designation: Assistant Professor
Qualification: M.Tech. CSE
Specialization: Artificial intelligence and Machine Learning
Teaching Experience: 3 Years
Inernational Publications: 1
Email: ajadhav1@mgmu.ac.in
Mrs. Vrushali S. Bidkar
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Name: Mrs. Vrushali S. Bidkar
Designation: Assistant Professor
Qualification: M.E. CSE
Specialization: Object Oriented Programming
Teaching Experience: 7 Years
National Publications: 1 Years
Email: vbidkar@mgmu.ac.in
Ms. Pramila Vasantrao kharat
Name: Ms. Pramila Kharat
Designation: Assistant Professor
Qualification: M.E. CSE
Specialization: Database Management Systems
Teaching Experience: 15.4 years
International Publications: 3
Email: kharat.pramila@gmail.com
Dr.Minakshi R. Rajput
Name: Dr. Minakshi R. Rajput
Designation: Assistant Professor
Qualification: Ph.D (Electronics Engineering)
Specialization: Swift Programming & iOS App Development, Machine Learning, Deep Learning, Data Science, Embedded Systems
Teaching Experience: 18 Years
International Publications: 13
Patent Publications: 01
National Publications: 01
Books Publications: 04
Email:mrajput@mgmu.ac.in
Mr. Bharat K. Chaudhari
Name: Mr. Bharat K. Chaudhari
Designation: Assistant Professor
Qualification: M.E. (CSE)
Specialization: Data Structure, Data Science
Teaching Experience: 12 Years
International Publications: 08
Email:bchaudhari@mgmu.ac.in
Mrs. M. P. Gangapurwala
Name: Mrs. Monika Prashant Gangapurwala
Designation: Assistant Professor
Qualification: M.E. Electronics
Specialization: Digital techniques, Microprocessors, Microcontrollers
Teaching Experience: 20.5 Years
Industrial Experience: 1 Year
International Publications: 01
National Publications: 02
Email:mgangapurwala@mgmu.ac.in
Mrs. Swati G. Gupta
Name: Mrs. Swati G. Gupta
Designation: Assistant Professor
Qualification: M. E. (CSE)
Specialization: C, C++, Java, HTML, CSS, PHP
Teaching Experience: 10 Years
Industrial Experience: 3 Year
International Publications: 01
Email: sgupta@mgmu.ac.in
Mrs. Jyoti Vithal Ighare
Name: Mrs. Jyoti Vithal Ighare
Designation: Assistant Professor
Qualification: M. E. (CSE)
Specialization: C++, C, Oops, Data structure, HTML
Teaching Experience: 3.5 Years
Email:jyotiighare23@gmail.com
Dr. Smita S. Ponde
Name: Dr. Smita S. Ponde
Designation: Associate Professor
Qualification: Ph. D (CSE)
Specialization: Machine Learning, Artificial Neural Network, Data Mining
Teaching Experience: 15 Years
Industrial Experience: 5.2 Years
International Publications: 26
Email:sponde@mgmu.ac.in
Mr. Jayanand Ambadas Kamble
Name: Mr. Jayanand Ambadas Kamble
Designation: Assistant Professor
Qualification: M.E. (CSE)
Specialization: Machine Learning, Natural Language Processing, Soft Computing
Teaching Experience: 14 Years
Industrial Experience: 02 Years
International Publications: 03
Email:jkamble@mgmu.ac.in
Ms. Sushma Balaji Adsul
Name: Ms. Sushma Balaji Adsul
Designation: Assistant Professor
Qualification: M.E. (CSE)
Specialization: Digital Image Processing ,Python,C++
Teaching Experience: 1 Years
International Publications: 01
Email: sadsul@mgmu.ac.in
Mr. Karan Dabhade
Name: Mr. Karan R Dabhade
Designation: Assistant Professor
Qualification: M.E. (CSE)
Specialization: Big Data, Azure cloud, Robotics Process Automation
Teaching Experience: 9 Years
Industrial Experience: 04 Years
International Publications: 04
Email:kdabhade@mgmu.ac.in
Open Source Lab (FF-02)
Description: This Laboratory is used by students for carrying out practical’s related to Python Programming, Database Management System, Universal Human Values, Design of Algorithm & Analysis etc.
Laboratory Resources (Equipment):
Hardware: 12th Gen Intel Core i5-12500 3.00 GHz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)
Software: Windows 10, Python, Jupiter Notebook, Oracle/My Sql, Turbo C/Code Blocks, MS Office etc.
Software Engineering Lab (FF-05)
Description: This Laboratory is used by students for carrying out practical’s related to Python Programming, Neural Network Design Logic, Database Management System, Universal Human Values, multiple Variable Calculus, Mini Project etc.
Description:This Laboratory is used by students for carrying out practical’s related to Multiple Varible calculus, Universal Human Values, Python Programming, IOT, Mini Project etc.
Laboratory Resources (Equipment):
Hardware:12th Gen Intel Core i5-12500 3.00 Ghz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)
Description:This Laboratory is used by students for carrying out practical’s related to Data Structures using JAVA, Multiple Variable Calculus, Python, IOT, Mini Project etc.
Laboratory Resources (Equipment):
Hardware:12th Gen Intel Core i5-12500 3.00 Ghz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)
Software:Windows 10, Turbo C, Code Blocks. JAVA, Visual Studio, Python, MS Office etc.
Multimedia Lab (FF-09)
Description:TThis Laboratory is used by students for carrying out practical’s related to Digital Image Processing, Data Structures using Java, Machine Learning Algorithms, etc.
Laboratory Resources (Equipment):
Hardware:12th Gen Intel Core i5-12500 3.00 GHz, 16 GB RAM, 256 GB SSD HDD, 19.5 Inch Monitor, Mouse, Keyboard etc. (40 Nos.)
Software:Windows 10, Python, Jupiter Notebook, Matlab etc.
Hardware Interfacing Lab (FF-07)
Description:This Laboratory is used by students for carrying out practical’s related to Digital Logic Design, Universal Human Values etc.