Computer Science 
 Engineering 

About the programme

Our Computer Science Engineering programme is a four-year intensive degree that focuses on the fundamentals of computer programming and networking. During the course of the program, students will get to learn extensively about computation, algorithms, programming languages, program design, computer software, computer hardware, etc. This will give them a strong foundation and equip them with the skills they need to shine in the real world.

  • Semesters: 8
  • Credits: 160
  • Start date: 1 December, 2022
  • Eligibility: PUC or an equivalent with a minimum 45% overall grade and 60% subject-wise grade in physics, chemistry, and mathematics.

Diploma

Students with a diploma degree can enter III semester of the programme.

  • Semesters: 6
  • Duration: 3 Years
  • Eligibility: Students must earn 120 credits to qualify for the degree

Here’s how our placement cell increases your opportunities

1 Short-term goals
2 Long-term goals
3 Facilities
1 Short-term goals
  • Familiarise students with the latest developments in the field 
  • Help students apply their theoretical knowledge in the real world  
  • Encourage students to participate in international and national level events and community development activities 
  • Model students to be global citizens while giving a local perspective of the discipline 
  • Provide access to industry links for internships and employment opportunities 
2 Long-term goals
  • Encourage the spirit of entrepreneurship among students
  • Develop state-of-the-art research facilities to promote innovation
3 Facilities

Vertical Progression

(PROMOTION / ELIGIBILITY TO HIGHER SEMESTERS / CLASSES)

There shall be no restriction for promotion from odd semester to the even semester, provided the student fulfills the attendance requirement.

A. Vertical progression in case of students admitted to the first year:

A student with CGPA ≥ 5.00 at the end of the first academic year and has no ‘F’ grade or has not more than four ‘F’ grades in the first two semesters of the programme shall be eligible to move to II year

  • A student with CGPA ≥ 5.00 at the end of the second academic year and has no ‘F’ grade or has not more than four ‘F’ grades in four semesters ( I and II years) shall be eligible to move to III year
  • A student with CGPA ≥ 5.00 at the end of the third academic year, and has earned all the prescribed credits of I year, and has no ‘F’ grade or has not more than four ‘F’ grades in the four semesters of II and III years shall be eligible to move to IV year

B. A student shall also be eligible for the first time, with a warning to move to higher odd semester, if he/she has failed to secure a minimum CGPA = 5.00 at the end of any academic year

C. For the award of degree, a CGPA ≥ 5.00 at the end of the programme shall be mandatory

Faculty

Areas of expertise: Data Mining, Machine Learning, Big data Analytics.
Teaching experience: 13 Years Research and 25 Years Teaching
Date of joining: 02.11.2022
Email ID: malinimp.rvitm@rvei.edu.in

 

About Faculty

Dr Malini M Patil has 28 years of academic and 13 years of research experience. Presently, she is working as professor in Department of Computer Science and Engineering. She obtained her UG degree from Karnataka University, Dharwad, PG degree from Shivaji University, Kolhapur, and Ph. D. from Bharathiar University, Tamil Nadu. She has published more than 65 research articles in reputed international journals and conferences in India and abroad.  Presently, she is guiding four  research scholars, Three scholars awarded with PHD degree. She has authored five book chapters. She is a member of professional societies, Senior Member IEEE, Member of Women in Engineering (WIE), LMCSI, LMIEI, LMISTE, Member ACM, and actively involved in all the professional society activities. She has delivered many webinars /seminars as an invited speaker across India. She visited Hong Kong, Dubai, Sri Lanka, and Malaysia to  attend and present her research papers in international conferences. She received the best paper presentation award in conferences. Received the award for PAPER PRESENTER AT INTERNATIONAL CONFERENCE at the 53rd Annual Convention of the Computer Society of India at Kalinga Institute of Industrial Technology, Bhubaneshwar, Odisha. Received “Distinguished Women in Science ” Award from Venus International Foundation for the year -2017.

More Details
Webpage: https://sites.google.com/view/drmalinimpatil/home

Areas of expertise: Knowledge Based Systems, Artificial Intelligence, Machine Learning, Data Mining, WSN, Big Data Analytics

Teaching experience: 24 Years Teaching
Date of joining: 31/08/2020
Email ID: anithaj.rvitm@rvei.edu.in

About Faculty

Dr. J. Anitha has over 24 years of teaching, research, and development experience.  She graduated with B.E. CSE from Bangalore University.  She did her M.E. CSE from Anna University, Chennai.  She obtained her Ph.D. in Computer Science and Engineering also from Anna University, Chennai in the field of Artificial Intelligence.

Her research interest lies in the field of Knowledge-Based Systems, Artificial Intelligence, Machine Learning, Big Data Analytics, Image Processing, Wireless Sensor Networks, Bio-Inspired Algorithms, etc.  She is guiding six research scholars at present.  She has a number of publications to her name in journals of national and international repute.  She has published 30 papers in international journals, 35 papers in various conferences and symposia.

She has authored chapters in 3 edited books in the field Artificial Intelligence and Machine Learning. She has been awarded 2 funded projects from VGST, the Government of Karnataka under the K-FIST (L1), and SMYSR schemes for 20 Lakhs and 5 Lakhs respectively in 2017. She has authored two books one in C Programming and another in Operating Systems. She has also delivered guest lectures / technical talks, and has chaired conference sessions.  She has guided more than 250 undergraduate and post graduate student projects.

More Details
Webpage: https://sites.google.com/rvei.edu.in/anitha-j/home

Areas of expertise: Cloud Computing

Teaching experience: Professor of Practice
Date of joining: 17/11/2023
Email ID: sudheendrabs.rvitm@rvei.edu.in

About Faculty

Mr Sudheendra.B.S has over 19 years of software industry experience prior to joining RVITM. He received his Bachelor’s degree in Computer Science and Engineering from APSCE (VTU); the Master degree in Software Systems from BITS Pilani (DLP).

Currently working as Professor of Practice at the Department of Computer Science and Engineering, RVITM, Bengaluru, India; since November 2023.

He has worked in multiple (product oriented) MNCs namely Hewlett-Packard, Motorola and Radisys spanning varied domains such as Data-Center, WLAN (Wifi) and Telecom. He started the journey with hp as Software Engineer and the last held designation was Senior Engineering Manager at Radisys

More Details
Webpage: https://sites.google.com/rvei.edu.in/sudheendrabs/home

Areas of expertise: Image processing; Signal Processing, Machine Learning, CNN & Deep Learning.
Teaching experience: 20 years Teaching
Date of joining: 01/07/2019
Email ID: deepakna.rvitm@rvei.edu.in

About Faculty

Dr. Deepak N A, joined the Computer Science and Engineering Department of RV Institute of Technology and Management (RVITM) Bengaluru in 2019, where I am working as an Associate Professor. I received my Ph.D. from the Computer Science & Engineering Department, NAL Research Center, under Mysuru University in 2017. M.Tech in Computer Science and Engineering from MSRIT, Bengaluru in 2016 and B.E in Computer Science and Engineering from PESIT, Bengaluru in 2009.

More Details

Webpage: https://sites.google.com/rvei.edu.in/deepak/home

Areas of expertise: Image Processing, Data Mining and Machine Learning
Teaching experience: 19 years
Date of joining: 1/9/2020
Email ID: savithag.rvitm@rvei.edu.in

 

About Faculty

Dr. Savitha G,  working  as  Associate  Professor, Department of  Computer  Science   and Engineering,  RV Institute  of  Technology  and  Management,  Bengaluru, Karnataka.  Obtained   B.E. Degree and Master’s Degree (M.Tech) from  Visvesvaraya  Technological  University ,  Belagavi, Karnataka, India.

I have obtained a Doctorate- Ph.D for the research work in the area of Image Processing – Pattern Recognition from Visvesvaraya  Technological  University. The research topic includes the “Design and Development of Efficient Methodologies for Personal Authentication using Biometric Traits”.

I have total teaching experience of  18 Years in teaching, research and learning experience. To my credit published  30 papers   in  various scientific  works in National /  International Journal  / conference  and a book chapter. During my tenure organized several Conferences, Workshops , Hackathan  programs and Technical  Talks.

Organizing Chair, Session Chair, Resourse Person and Reviewer for several   International Conferences  and Journals. My  research  papers  got  selected  for  Best  Paper  Award  at  Conference on Image and Signal Processing (ICISP-2014), Elsevier Science and Technology publications, Bangalore. Represented  District  level  Junior  Kho-Kho Team and District Junior Ball Badminton Team.

My research area includes Image Processing, Pattern Recognition, Machine Learning, Computer Vision and Data Mining.

More Details
Webpage: https://sites.google.com/rvei.edu.in/drsavithag/home

Area Of Expertise : Generative AI, Machine Learning, Deep Learning, Networks, Probability Models and Network Programming.

Teaching Experience: Software Industry – 12 years (2 years R & D at DRDO) and Academics – 15.5 years

Date of Joining: 09-10-2021

Email Id: mallanagoudap.rvitm@rvei.edu.in

About Faculty

Dr. Mallanagouda Patil is working as Associate Professor in the Department of Computer Science & Engineering and leading the Training and Placement centre at RVITM. He completed his M.Tech, PhD from VTU, Belagavi and B.E from Karnataka University Dharwad (KUD) respectively. He has worked in software industry for 12 years and 15.5 years in academics with two years of Research and Development at Electronics & Radar Development Establishment (LRDE), DRDO, Ministry of Defence, Government of India. He has worked abroad for the IT companies such as NEC (Japan), Vodafone (UK), Samsung (South Korea) and HP (USA) for 5 years in various capacities from Software Specialist, Project Leader to Technology Consultant in the domain of Real Time Embedded Systems, Artificial Intelligence, Machine Learning, Expert Systems, Network Management and Device Drivers.

With Ten Scopus Indexed Journals, Two Q2 Journal and Five IEEE International Conference Papers, Dr. Mallanagouda has a total of 21 publications to his credit. He has contributed as Technical Program Committee (TPC) member and Session Chair in IEEE international conferences held at Singapore and elsewhere.
More Details
Webpage: https://tinyurl.com/mallanagouda

Area Of Expertise : Machine Learning, Data Analytics, Statistical Learning, Cloud computing , Databases

Teaching Experience : 7 Years Research and 16 Years Teaching

Date of Joining : 21.10.2021

Email Id : surbhiagrwal.rvitm@rvei.edu.in

About Faculty

Dr. Surbhi Agrawal is working as an Associate Professor in CSE department at RVITM, Bangalore. She is having a total of 17+ years of teaching experience in reputed engineering colleges like Dayananda Sagar University, Indian Institute of Information and Technology, Pune, PESIT, Bangalore etc. She was awarded her doctorate from Visversvaraya Technical University, Belagavi in the area of Machine Learning in Astrophysics domain and has acquired her M. Tech. in CSE with distinction from Bangalore Institute of Technology, Bangalore, Karnataka.

She has published several articles in International Journals and Conferences including SCI journals. She has also served as reviewer of papers/articles of some reputed conferences and journals. She is member of ACM research community. Her area of research is Machine Learning, Soft Computing, Databases, Human Computer Interaction and Data Analytics. She is also an Oracle Certified Professional. She also has 5 book chapters in her name. She is having an Indian Innovation patent and a UK Design patent in her name . She is also a Google Cloud Ready facilitator and  Oracle certified Professional on DBA track  . She is passionate about learning new skills and imparting it at the same time to others. She has conducted several STTP programs for other Universities as a resource person and  has organised various FDPs, conferences, workshops etc. She has also set up Startup Ignition Cell, Google developer Student Community program and Microsoft Learn Student Ambassador Program at RVITM.

 

More Details
Webpage: https://sites.google.com/rvei.edu.in/dr-surbhi-agrawal/project-page

Areas of expertise: Machine learning, computer vision, deep learning, Internet of Things Large Language Models  and bioinformatics
Teaching experience: 8 years – research and 15 years – teaching
Date of joining: 02-09-2022
Email ID: Roopashrees.rvitm@rvei.edu.in

 

About Faculty

Dr. Roopashree S joined as assistant professor in Department of Computer Science and Engineering of RV Institute of Technology and Management (RVITM) Bengaluru in 2022. Ph.D.  in Department of Computer Science and Engineering from Visvesvaraya Technological University, Belagavi in the domain of machine learning and deep learning in 2022, M.Tech in Computer Science and Engineering from VTU in 2013 and B.E in Computer Science and Engineering from Mysore university in 2001.

 

More Details
Webpage: https://sites.google.com/rvei.edu.in/roopashree-s/home

Areas of expertise: Data Privacy, Privacy Preserving Data Mining
Teaching experience: 7 Years Research and 15 Years Teaching
Date of joining: 02.11.2022
Email ID: shashidharv.rvitm@rvei.edu.in

 

About Faculty

Dr. Shashidhar V joined the Computer Science Engineerng Department of RV Institute of Technology and Management (RVITM) Bengaluru in 2022, where he is working as an Assistant Professor. He received his Ph.D. from the Computer Science Engineering Department, VFSTR Deemed to be Univer-sity, M.Tech in Information Security from Birla Institute of Technology and B.Tech in Computer Science Engineering from SASTRA University.

More Details
Webpage: https://sites.google.com/rvei.edu.in/dr-shashidhar-virupaksha/home

Areas of expertise: Computer Networks, Cyber security, smart meters, Blockchain, Analog and digital electronics, Cryptography, Information theory coding, Cloud computing,Web Technology, Software testing etc

Teaching experience: 7 Years Research and 11.5 years of Teaching
Date of joining: 01.12.2022
Email ID: adarshasagarhv.rvitm@rvei.edu.in

About Faculty

 

Dr.Adarsha Sagar H.V completed B.E in Computer Science and Engineering and M.Tech in Computer Science and Engineering in the year 2009 and 2011 respectively from University Visvesvaraya College of Engineering, Sri Siddhartha Academy of Higher Eduction. He Joined K.S.I.T College of Engineering, Bangalore as Lecturer in Computer Science and Engineering Department in 2011 and was re designated as Assistant professor in 2012 . He completed PhD titled “Design and Implementation of Energy Efficient Routing Protocols for Maximizing Lifetime in Wireless Sensor Networks ” from VTU in 2021. He served as Assistant Professor in Computer Science and Engineering Department at A.P.S College of Engineering from 2013 to 2020. He was appointed as Assistant Professor of RV Institute of Technology and Management (RVITM) in Dec 2022 .With an experience of over more then one decade in the field of education, he feels privileged to be associated in setting up this premier technical institution right from preliminary concepts of planning and design and hence consider it as a rare opportunity.

 

More Details

 

Webpage: https://sites.google.com/rvei.edu.in/adarshasagarhv/home

Area Of Expertise: Web Development, Mobile Application Development, Big Data Analytics

Teaching Experience: 15 Years Teaching and 5 Years Research

Date of Joining: 19-11-2021

Email Id:nanditab.rvitm@rvei.edu.in

About Faculty

Dr.Nandita B  has completed her B.E in Computer Science ,M.Tech. in Software Engineering  and Ph.D in Big Data Analytics. She has 15 years of experience in the field of teaching. Her area of interest is Web technology and Machine Learning.  Has published 10  papers in International Journal and  National Journals. She has actively participated and coordinated various Seminars, Conferences, Workshops and FDP’s. and have received grants for the best final year project. She has been awarded by Infosys for coordinating  training programs to make students placement ready. She conducted internship training programs for the current 3rd sem students in RVITM on Web Technology. Her area of interest is Web technology and Machine Learning.

 

More Details
Webpage: https://sites.google.com/view/nanditabangera/home

Area Of Expertise: Data Science, Big data Analytics

Teaching Experience: 11 Years Teaching and 5 Years Research

Date of Joining: 01-10-2021

Email Id :  anilkumarb.rvitm@rvei.edu.in

About Faculty

Anil Kumar B working as an Assistant Professor in the  Department of  Computer Science and Engineering at RV Institute of Technology and Management (RVITM) Bengaluru in 2021. I am pursuing my Ph.D. in the Department of Computer Science Engineering, received my M.Tech in Computer Network Engineering from DSCE, Bengaluru  (VTU) in 2014 and B.E in Information Science and  Engineering from DCSE, Bengaluru (VTU) in 2011. GATE Examination Qualified in Computer Science and Engineering discipline in 2011.Received Best paper Award form IJSET Journal in 2017. Published “C Programming for problem Solving “Text book in 2020.

 

More Details
Webpage: https://sites.google.com/rvei.edu.in/anilkumarb/home

Aea Of Expertise: Databases, Operating Systems, IoT, NLP

Teaching Experience: 17 Years

Date of Joining: 19-11-2021

Email Id: srividhyavr.rvitm@rvei.edu.in

About Faculty

Ms. V R Srividhya is an Assistant Professor in Department of Computer Science and Engineering at RVITM. She has secured B.E. (University of Madras) in CSE(First Class) and M.Tech.(VTU) in CSE(FCD).She has around 15 years of experience in academics. Currently pursuing Ph.D. in Information Abstraction. Her area of interests are Databases, IOT and Operating Systems. Has got funding from KSCST. She has guided several projects at Undergraduate and Postgraduate level.
She has guided a project titled “Automated Oven”, that has won several prizes at the National level. Has organized and co ordinated for several National/International Conference, Workshops, FDP’s and Seminars/Webinars. Has to her credit papers published in National/International Conferences and Journals

 

More Details
Webpage: https://sites.google.com/rvei.edu.in/vrsrividhya

Area of Expertise: Cloud computing , Automation

Industrial Experience :1 year Research and 2 Year Teaching

Date of Joining: 1.10.2021

Email Id: rachanams.rvitm@rvei.edu.in

About Faculty

Mrs. Rachana M S joined the Computer Science and Engineering Department of RV Institute of Technology and Management (RVITM) Bengaluru in 2021, where I am working as an Assistant Professor with total 1 year 1 month teaching experience M.Tech in Software Engineering from RVCE, Bengaluru in 2020 and B.E in Computer Science and Engineering from The National Institute of Engineering, Mysore in 2017.

 

More Details
Webpage: https://sites.google.com/rvei.edu.in/rachana/about-the-faculty

Areas of expertise: Deep learning, Mobile Application, Cloud Computing
Teaching experience: 5 Years in Teaching
Date of joining: 03.10.2022
Email ID: syedaayesha.rvitm@rvei.edu.in

About Faculty

Syeda Ayesha unisa has joined the Computer Science Engineering Department of RV Institute of Technology and Management (RVITM) Bengaluru in 2022, where I am working as an Assistant Professor. I am pursuing my Ph.D. in the Computer Science Engineering Department, in VTU in 2019, , M.Tech in Computer Science and Engineering from Dr.AIT Bengaluru in 2016 and B.E in Computer Science Engineering from SKIT in 2014.
More Details
Webpage: https://sites.google.com/rvei.edu.in/syeda-ayesha-unisa/home

Areas of expertise: Computer Networks, Network Security, Data Science, Mobiles Applications, Data base management, IOT.
Teaching experience: 12 years Teaching
Date of joining: 17-10-2022
Email ID: padmasree.rvitm@rvei.edu.in

About Faculty

Prof padmasree N. joined the Computer science and Engineering Department of RV Institute of Technology and Management (RVITM) Bengaluru in 2022, where I am working as an Assistant Professor. I received my Mtech . from the computer network Engineering Department from bellary engineering college,bellary in 2007. and B.E in Electronics and communication Engineering from JNTU in 1999.
More Details
Webpage: https://sites.google.com/rvei.edu.in/mrs-padmasree/home

Areas of expertise: Machine Learning, Image processing, Big data
Teaching experience: 8 Years Teaching
Date of joining: 10.11.2022
Email ID: prabhavathik.rvitm@rvei.edu.in

About Faculty

I Prabhavathi K, joined as Assistant Professor to the Department of Computer Science and Engineering, R V Institute of Technology and Management in 2022, Bangalore. She has earned her B.E, M. Tech from VTU, Belgaum. She is currently pursuing PhD in Machine Learning domain. She has Eight years of teaching experience. She has taught various subjects in her teaching carrier.
She has published papers in various reputed International Journals, International Conference, National Conference and Scopus index Journals.
More Details
Webpage: https://sites.google.com/rvei.edu.in/prabhavathik/home

Areas of expertise: Artificial intelligence and Machine learning. Data science and Deep learning applications paticularly in Healthcare domain. Internet of things and Microprocessors and microcontrollers.
Teaching experience: 5 Years Teaching and 1.5 Years corporate
Date of joining: 16-10-2023
Email ID: uppinrashmi.rvitm@rvei.edu.in

 

About Faculty

 

Mrs. Uppin Rashmi joined as an Assistant professor in Computer Science Engineering Department of RV Institute of Technology and Management (RVITM) Bengaluru in 2023. I am pursuing my Ph.D. from the Computer Science Engineering Department, Amrita University Bengaluru, M Tech. and BE i completed from VTU.

 

More Details

 

Webpage: https://sites.google.com/rvei.edu.in/uppinrashmi/about-the-faculty