About Department

The Department of Computer Science and Engineering was established in 2006. It administers bachelor's programs in Computer Science & Engineering with intake capacity of 60. The Department has well qualified and motivated faculty members who are highly committed to the overall development of the students.

Department of Computer Science and Engineering of BMIT has a mission to Empower every student to be industrious, creative and quality conscious in the field of Computer Science and Engineering by imparting quality education and inculcating human values.

Department has well equipped laboratories with high speed internet facilities through leased line and WIFI facility to all and other required peripherals to meet the academic needs of students.

Teaching learning process is given at most priority in pursuit of improving the quality of technical education. Innovative teaching aids and methodologies are used by the department towards this goal. The department regularly organizes seminars, workshops, and guest lectures for the students. Faculty development programs are organized for faculty to promote high standards in technical education.

Prof Ms. U S Dodmise

Head Of Department C.S.E.

Vision

“To be recognized as the Centre of Excellence in Mechanical Engineering.”

Mision

1. “To develop the students in academic excellence and professional knowledge with ethical leadership to make them globally acceptable Mechanical engineers.”
2. “To provide the solutions for the industrial problems and contribute to technical knowledge on continuous basis in the area of Mechanical Engineering.”

Goals

1. To prepare students to undertake careers involving innovation and problem solving using computational techniques and technologies, or to undertake advanced studies for research careers or to take up Entrepreneurship.
2. Teach students the basic principles that underlie modern computational technology.
3. To prepare students for graduate training in some specialized area of computer science.
4. To prepare students for jobs in industry, business or government, and to provide support courses for students in engineering, mathematics and other fields requiring computing skills.
5. Transform the department and its students into a multidisciplinary stream where students can collaborate with other departments for research.
6. Widen the scope of the faculty by helping them pursue cross-discipline research topics like robotics and machine vision.

Faculty Details

Sr. No.	Staff Name	Designation	Qualification	Total Exp	Email Id	Photo
1	Prof. S G Kulkarni	Associate Professor & Voice Principal	ME CSE	19	shripad.gurunath.kulkarni@bmionline.co.in
2	Prof Mr. S S Bhuite	Assistant Professor	ME-CSE	13Yrs Industry-6 Months	sagar.sharad.bhuite@bmionline.co.in
3	Prof. S SKirte	Assistant Professor	M Tech. CSE	17 years	Sandesh10.kirte@gmail.com
4	Prof. S A Awatade	Assistant Professor	ME(CN)	11 years	sharad.awatade@gmail.com
5	Shripad Ashok Chabukswar	Assistant Professor	M. Tech Data Science	3	Shripadc9@gmai.com
6	Khairate Kanchan Rajendra	Assistant Professor	M Tech (CSE)	2	Kanchan.khairate1993@gmail.com
7	Ganesh Panditrao Buchade	Assistant Professor	BE (IT), ME (CSE)	13	ganesh.buchade@bmionline.co.in
8	Manisha Nitin Gaikwad	Assistant Professor	MTech (CSE)	5	manisha.gaikwad@bmionline.co.in
9	Prof Ms. U S Dodmise	Assistant Professor	BE (CSE), ME (CSE), Ph.D.*	17 years +	usha.shivaji.dodmise@bmionline.co.in
10	Dr Mrs. Sneha Amit Kumar Mane	Assistant Professor	Ph.D ( CSE)	06 years	samane.bmit@gmail.com

Infrastructure Details

SEMINAR/FDP ETC. ATTENDED

Results

Sr. No.	Academic Year	Name of Student	Class	University Rank	Marks	Photo
1	2018-19	RAKSHE NAMRATA VASUDEV	BE CSE	-	79.34
2	2018-19	SHAIKH ASFIYA CHANDPASHA	BE CSE	-	76.88
3	2018-19	SHAIKH SOFIYA URF MINAJ RIZWAN & SHELAKE SNEHAL SHAVARSIDHA	BE CSE	-	76.28
4	2017-18	MAGAR RADHIKA SHIVAJI	BE CSE	-	80.9
5	2017-18	MAHINDRAKAR KOMAL DIPAK	BE CSE	-	80.9
6	2017-18	MAHINDRAKAR KOMAL DIPAK	BE CSE	-	79.14
7	2017-18	KANSHETTI ARCHANA BASAVRAJ	BE CSE	-	79.2

Staff Achievements

Co-curricular Student Achievements -

To groom the students, BMIT provides a platform to form student council/association and involve them in academic and administrative bodies. The institute promotes students to participate at two levels of bodies, one is at the university level and another is at the college level.

The activities in the Technical, Sports, Social, Magazine & Cultural area are conducted by the student council. BMIT has department student associations like Computer Council from CSE dept.

Through this activity, the student can update their technical skill, planning, designing, and execution. Under each association different departmental technical activities are conducted. This association conducts following activity like Programming context, Gaming, Seminar, paper and poster presentation, project idea competition etc at time of Engineers Day.

Many students every year from dept participate in SEED IDOL conducted by Solapur University and grab prizes. Also participation in National level paper presentation, project presentation and other competition

Extra Curricular Student Achievements –

The main objective of Sports is to ensure all-round development of students through physical activities, produce physically and mentally fit citizens, bring laurels to the college by performing well in various Sports Competitions.

One of our BE CSE student Ms. Supriya Gire achieved excellent remark in sports by participating All India Inter University levels competition and also selected in State level Cricket team. She also played and performed excellent with 2nd and 3rd prizes in wrestling free style, Power lifting at State level.

Special Achievements of Students:

Smart Marketing using QR code -

Our final year students (AY 2019-20)developed this project Online Shopping Wall to make the shopping experience simpler, faster and more convenient for consumers. Just as barcode technology transformed the efficiency of retail stores in the early 1980s, Scan and Go is set to become retail’s next great disruptive technology, improving a range of existing retail practices. Just as self-checkout machines are more efficient than waiting in line for an assistant to scan items and process your payments, Scan and Go is the next logical step in streamlining and enhancing the in-store experience.

Single Image Super Resolution Using Machine Learning -

High resolution (HR) image reconstruction from low resolution(LR) image is one of the most important vision application. Despite numerous algorithms have been proposed in recent years, efficient and robust single image super resolution(SISR) reconstruction is still challenging by several factors, such as inherent ambiguous mapping between the LR and HR images, necessary use exemplar images, and computational load etc.

In this project of our final year CSE students(AY2019-20) have designed a algorithm which mainly focuses on conversion of single low resolution image into high resolution image. This can be useful in many cases or areas like video surveillance, satellite imaging ,hospital, defense system, crime investigation etc.

Non Teaching Details

Sr. No.	Name of Staff	Designation	Qualification	Total Experience	Email-id	Image
1	Mr. S K Shaikh	N/W Administrator	Diploma in CSE	05 YEAR	shaikhasad488@gmail.com
2	Mr.Verdole P.D.	Lab Assistant	Diploma(CSE), MCSA,CCNA (Hardware Networking)	11 YEAR	pverdole@gmail.com

Syllabus & Time table