Ph.D – Computer Science & Information Systems
campus
Dubai
Department
Computer Science
Level
Doctoral Programmes
The Department of Computer Science was established in the year 1971 and is one of the earliest Computer Science & Engineering departments in the country. Currently, it has 22 faculty members and over 800 students working towards their Bachelor’s, Master’s and Doctoral degrees. In addition, it actively participates in select off-campus programmes.
In the past, the department has attracted unrestricted research grants as well as competitive research grants from several sources including national funding agencies (DST, DEITY-MCIT, DEC, UGC, ATB and CAIR), International funding agencies (European Commission, MFA-Government of France) as well as from corporate research laboratories (Microsoft Research (Redmond), Microsoft Research (India), IBM, CISCO, TCS, Digital Think amongst others).
Research Areas
The department offers a full time Ph.D. programme in the following thrust areas of its research.
- Artificial Intelligence, Machine Learning & Data Mining
- Computer Architecture, Embedded Systems & Robotics
- Data Warehousing, Databases & Advanced Databases
- High Performance Computing & Distributed Systems
- Image Processing &Multimedia
- Networking, Mobile Computing, Pervasive & Wearable Computing
- Algorithms & Theoretical Computer Science
- Software Engineering, Software Architecture and Testing
Resources
Part Time Ph D
A person working in reputed research organizations, academic Institutes and industries, situated preferably in the close vicinity of one of the campuses of BITS Pilani, can be admitted on part time basis provided
- the candidate is working in an organization which encourages and facilitates research
- candidate meets the requisite minimum qualification for admission to Ph. D programme of BITS Pilani
- candidate has minimum of one year work experience in related field, and (iv) candidate furnishes a "consent & no objection certificate" from his/her parent organization.
Ph D Aspirant scheme
Industries and R & D Organizations collaborating with BITS can sponsor candidates to work for Ph.D under the Ph.D Aspirants Scheme. Under this Scheme such Employed professionals working in Industries and R&D Organizations having long experience and proven competence aspiring for Ph.D. programme will be considered and will be allowed to pursue their research at their own locations of work. They will choose one BITS faculty as supervisor and or as co-supervisor.
Minimum Academic qualification:
- M.E/M.Pharm./MBA/ M.Phil of BITS or its equivalent with a minimum of 60% aggregate.
- Candidate with an M Sc/B.E or an equivalent with a minimum of 60% will also be considered for provisional admission to the Ph D programme. For Ph D programme in languages and humanities, candidates with an M.Phil/M A and with a minimum of 55% aggregate may also be considered. Such candidates have to undergo a minimum of two semester course work prescribed by DRC.
- The rare and special case of a person of high professional standing and proven competence who is deemed to have acquired mastery over all or substantial part of the course work of a higher degree of the Institute through long professional experience.
- Admission to the Ph D programme is made in both the semesters against the advertisement, which can be checked at www.bitsadmission.com, the candidates have to apply along with details required in the application form.
- A candidate is normally admitted to the Ph.D. programme after passing his/her Ph.D. qualifying examination. A few candidates may be admitted to the programme as provisional candidates before passing the Ph.D. qualifying examination. This provision is applicable to full time research scholars on the campus.
Faculty
Assistant Professor, Department of Computer Science
Assistant Professor, Department of Computer Science
Artificial Intelligence & Machine Learning Researcher, Data Science & Natural Language Processing Enthusiast, Deep Learning & Computer Vision Developer, Keynote Speaker in ML & Allied Domains
Assistant Professor, Department of Computer Science
Data Mining, Deep Learning, Image Processing, Machine Learning, Medical Image Analysis, Metagenomics
Assistant Professor, Department of Computer Science
Artificial Intelligence, Computer Vision, Data Privacy and Multimedia Analytics, Deep Learning, Generative AI
Assistant Professor, Department of Computer Science
AI/ML for Cyber Security, Applications of Artificial Intelligence, Computer Networks, Internet of Things (IoT), IoT/Cyber Security, Network Security
Associate Professor, Department of Computer Science
Blockchain Technologies, Internet of Things (IoT), Network Security