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BITS Pilani

  • Page last updated on Tuesday, May 15, 2018

Department of Computer Science & Information Systems

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Research

Faculties and students of the departments are actively involved in research in the following broad contemporary areas such as Data Science, Theoretical Computer Science, Networks, Systems, and Software Science. Many popular research conferences are being organized regularly by the department. Few examples are ICDCN-2015, ISEC-2016. International meetings such as ACM India Annual Event-2015, INDO-CHILE workshop on BIG DATA 2014 were also organized by the department.
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Faculty

Having a mix of highly qualified and experienced people from both academic and industrial background, the faculty members have established a sound foundation in various aspects of teaching and research. Hence, students easily understand and find interest in applying their acquired engineering knowledge in industry and pursuing a research degree.
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Programmes Offered

The Department of Computer Science and Information System of Goa campus presently offers the following Programmes.
  • B.E. (Computer Science)
  • M.E. (Computer Science)
  • Ph.D.
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Placement

Our students get placed in many well known industries ..

Recent Publications

  • Prasad Talasila , Aparajita Haldar, Suhas S. Pai, Neena Goveas, and Bharat M. Deshpande, Multimodal Transit Scheduler: An Actor-based Concurrent Approach, 20th IEEE International Conference on Intelligent Transportation Systems, Yokohama, JAPAN, 16 - 19 October, 2017.

  • Shubhangi K. Gawali, Biju K. Raveendran,"DPVFS: A Dynamic Procrastination cum DVFS Scheduler for Multicore Hard Real Time Systems", International Journal of Embedded Systems (IJES), Inderscience publication, 2017 (in press).

  • Shubhangi K. Gawali, Biju K. Raveendran, "DPS: A Dynamic Procrastination Scheduler for Multi-core/Multi-processor Hard Real Time Systems", International conference on Control, Decision and Information Technologies (CoDIT), pages 286–291, IEEE, 2016.

  • Dr. Debasis Das is selected for the “Session Chair” (E2: Vehicular Networks Session ) in the IEEE 32nd International Conference on Information Networking (ICOIN 2018) January 10-12, 2018, Chiang Mai, Thailand(Core Ranking: Core B) which is one of the oldest conferences in computer networking.

  • Networks Group at BITS Pilani K K Birla Goa Campus, Goa, India member (Dr. Neena Goveas): Attended 10th International Conference on COMmunication Systems & NETworkS COMSNETS 2018

  • Networks Group at BITS Pilani K K Birla Goa Campus, Goa, India member (Dr. Debasis Das): Published three of his works at The 32 nd IEEE International Conference on Information Networking (ICOIN 2018) [Crore Ranking: Core B] , January 10-12, 2018, Chiang Mai, Thailand which is one of the oldest conferences in computer networking.

  • Networks Group at BITS Pilani K K Birla Goa Campus, Goa, India member (Dr. Debasis Das) published his work (Paper Title: Distributed Algorithm for Geographic Opportunistic Routing in VANETs at Road Intersection) at IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2017), 6-10 November 2017, Orlando, Florida, USA which is one of the topmost conferences in Big Data Intelligence and Computing.

  • Dr. Debasis Das of Networks Group at BITS Pilani- K.K. Birla Goa campus has published a book chapter titled " Secure, Smart Vehicle Cloud Computing System for Smart Cities” (i.e., Springer book chapters “Could Computing for Optimization: Foundations, Applications, Challenges”) in Springer “Studies in Big Data” book series, Springer (2017).

  • Dr. Rahul Thakur of Networks Group at BITS Pilani-K.K Birla Goa campus has published a journal titled "An Energy and Cost Aware Framework for Cell Selection and Energy Cooperation in Rural and Remote Femtocell Networks" in IEEE Transactions on Green Communications and Networking, Aug 2017.

  • Ashwin Srinivasan, Michael Bain: An empirical study of on-line models for relational data streams.Machine Learning 106(2): 243-276 (2017)

  • Haimonti Dutta, Ashwin Srinivasan. Consensus-Based Modelling using Distributed Feature Construction with ILP. Machine Learning. DOI 10.10007/s10994-017-5672-2

  • Rama Kaalia, Ashwin Srinivasan, Amit Kumar, Indira Ghosh (2016): ILP-assisted de novo drug design. Machine Learning 103(3): 309-341

  • Pai, Priyadarshini P., Tirtharaj Dash, and Sukanta Mondal. "Sequence-based discrimination of protein-RNA interacting residues using a probabilistic approach." Journal of Theoretical Biology 418 (2017): 77-83.

  • Swain, Rakesh Ranjan, Tirtharaj Dash, and Pabitra Mohan Khilar. "An effective graph‐theoretic approach towards simultaneous detection of fault (s) and cut (s) in wireless sensor networks." International Journal of Communication Systems 30(13) (2017).

  • Gawas Mahadev A., Lucy J. Gudino, K.R. Anupama, “AMCCR: Adaptive Multi QoS Cross-Layer Cooperative Routing in Ad hoc Networks” Journal of Computer Networks and Communications. 2017.

  • Rahul Thakur, Vijeth J. Kotagi, C. Siva Ram Murthy, "Resource allocation and cell selection framework for LTE-Unlicensed femtocell networks," in Elsevier Computer Networks, vol. 129, Part 1, pp. 273-283, Oct. 2017.

  • Rahul Thakur, Sudeepta Mishra, C. Siva Ram Murthy, "An Energy and Cost Aware Framework for Cell Selection and Energy Cooperation in Rural and Remote Femtocell Networks," in IEEE Transactions on Green Communications and Networking, vol. 1, no. 4, pp. 423-433, Dec. 2017.

  • Shubhangi K. Gawali, Biju K. Raveendran, “DPVFS: A Dynamic Procrastination cum DVFS Scheduler for Multicore Hard Real Time Systems”, in Inderscience Journal of Embedded Systems, 2017.

  • C.D. Martino, Santonu Sarkar, R. Ganesan, Z. T. Kalbarczyk, R. K Iyer, “Analysis and Diagnosis of SLA Violations in a Production SAAS Cloud” - IEEE Transactions on Reliability, vol 66, no 1, 2017.

  • Santonu Sarkar, Gargi Alavani, “How Easy it is to Write Software for Heterogeneous Systems?” - ACM Software Engineering Notes Oct 2017

  • Geeta Patil, Neethu Bal Mallya and Biju Raveendran, “MOESIF: A MC/MP Cache Coherence Protocol with Improved Bandwidth Utilization,”International Journal of Embedded Systems (In Press).

  • R.K. Roul and S.K. Sahay, “Cluster labelling using chi-square-based keyword ranking and mutual information score: A hybrid approach”, Inderscience, Int. J. Intelligent Systems Design and Computing, Vol. 1, No. 1/2, pp. 145 - 167, 2017.

  • Debasis Das and Rajiv Misra, IntersectionCast: Approximation Algorithm for MultiDirectional Broadcast Storm in VANETs, International Journal of Communication Networks and Distributed Systems (IJCNDS), Inderscience Publishers /ACM , Vol. 20, No. 1, pp. 16-35, 2017[Scopus Index, DBLP].

  • Debasis Das and Amritesh Kumar, ‘Learning Automata Based Multi-flow Opportunistic Routing Algorithm in Wireless Mesh Networks’, International Journal of Wireless and Mobile Computing-2017, Inderscience /ACM , Vol. 13,No. 2, pp. 106-113,2017 [Scopus Index, DBLP].

  • Trupil Limbasiya and Debasis Das, Vehicle-to-Vehicle Secured Connectivity Awareness Verification System in VANETs, International Journal of Communication Networks and Distributed Systems (IJCNDS), Inderscience/ACM Publishers Switzerland, 2017(Accepted)[Scopus Index, DBLP].

  • Prerna Khurana, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:Hybrid BiLSTM-Siamese network for FAQ Assistance. CIKM 2017: 537-545

  • Lovekesh Vig, Ashwin Srinivasan, Michael Bain and Ankit Verma. An investigation into the role of domain-knowledge on the use of embeddings. 27th International Conference on Inductive Logic Programming. To appear in Lecture Notes in Computer Science (LNCS), Springer.

  • Deepika Vatsa, Sumeet Agarwal, Ashwin Srinivasan. Learning transition models of biological regulatory and signaling networks from noisy data. CODS 2016: 9:1-9:6

  • Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia:Generation of Near-Optimal Solutions Using ILP-Guided Sampling. 26th International Conference on Inductive Logic Programming, 120-131

  • Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat: Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. CoCo@NIPS2016

  • Ashutosh Saboo, Anant Sharma, Tirtharaj Dash: GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps. ICONIP (1) 2017: 230-239 [CORE A]

  • Preetham N. Reddy, Sahith N. Dambekodi, Tirtharaj Dash, "Towards Continuous Monitoring of Environment under Uncertainty: A Fuzzy Granular Decision Tree Approach", In proc: Development aspects of Intelligent Adaptive Systems (DIAS); Innovations in Software Engineering Conference (ISEC-2017), Jaipur, India (Feb 5-7, 2017).

  • Gawas Mahadev .A.; Lucy J. Gudino.; Anupama, K.R., “Cross Layer Approach for Effective Multi Hop Broadcast in VANET” 9th International Conference on COMmunication Systems & NETworkS COMSNET 17, (IEEE) Bangalore, India.

  • Gawas, Mahadev .A.; Palash H, Lucy J. Gudino.” Cross Layer Design for Efficient Dissemination of Emergency Messages in VANETs” 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN). Milan Italy.

  • Gawas Mahadev A, Modi k., Palash H., Lucy J. Gudino, " QoS Based Multipath Routing in MANET: A Cross Layer Approach" International Conference on Communication and Signal Processing – ICCSP 17, (IEEE), India.

  • Soumyadip Bandyopadhyay, Santonu Sarkar, D. Sarkar, C R Mondal, “SamaTulyata: An Efficient Path Based Equivalence Checking Tool”- 15th International Symposium on. Automated Technology for Verification and Analysis, ATVA, Pune 2017

  • Soumyadip Bandyopadhyay, Kunal Banerjee, Santonu Sarkar, “An End to End Formal Verifier for Parallel Programs”, 12th International Conference on Software Technologies, Spain 2017

  • Santonu Sarkar, Rumana Lakdawala, Subhajit Datta, “Predicting the Impact of Software Engineering Topics: An Empirical Study”, BIGSCHOLAR@ 26th Intl. World Wide Web Conference, Australia 2017

  • A. V. George, S. Manoj, S. R. Gupte, Santonu Sarkar, “An Empirical Evaluation of Design Abstraction and Performance of Thrust Framework”, PSTI@The 46th IEEE International Conference on Parallel Processing, UK 2017

  • S. Venkateshwaran, Santonu Sarkar, “Uptime Optimized Cloud Architecture as a Brokered Service”- 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017, USA.

  • A. V. George, S. Manoj, S. R. Gupte, S. Mitra, Santonu Sarkar, “Thrust++: Extending Thrust Framework for Better Abstraction and Performance”, 24th IEEE International Conference on High Performance Computing Jaipur 2017

  • Agarwal S., Mittal N., Sureka A., “Potholes and Bad Road Conditions- Mining Twitter to Extract Information on Killer Roads”, The ACM India Joint International Conference on Data Science & Management of Data (CoDS-COMAD), India. 2018

  • R.K. Roul and S.K. Sahay, “Categorizing Text Data using Deep Learning: A Novel Approach” ICCIDM, 11-12th Nov. 2017, Proceedings in Springer Advances in Intelligent Systems and Computing.

  • Sanjay Sharma, Rama Krishna and S.K. Sahay, “Detection of Advanced Malware by Machine Learning Techniques” International Conference on Soft Computing: Theories and Applications, 22-24 Dec. 2017, Proceedings in Springer, Advances in Intelligent Systems and Computing.

  • Debasis Das and P. Sharma, Algorithm for Prediction of Negative Links using Sentimental Analysis in Social Networks, IEEE 13th International Wireless Communications and Mobile Computing Conference (IWCMC) 2017, June 26-30, 2017, Valencia, Spain[ Core Ranking: Core B]

  • Debasis Das, Distributed Algorithm for Geographic Opportunistic Routing in VANETs at Road Intersection, DASC/PiCom/DataCom/CyberSciTech 2017, 6-10 November 2017, Florida, USA[Core Ranking: Core C]

  • Naresh Peshwe and Debasis Das, Algorithm for Trust Based Policy Hidden Communication in the Internet of Things, The 42nd IEEE Conference on Local Computer Networks (LCN), October 9-12, 2017, Singapore [ Core Ranking: Core A]

  • Akshita Bhandari, Ashutosh Gupta and Debasis Das, “Betweenness Centrality Updation and Community Detection in Streaming Graphs using Incremental Algorithm”, 6th ACM International Conference on Software and Computer Applications (ICSCA 2017), Bangkok, Thailand, Feb 26-28, 2017[Scopus Index].

  • Debasis Das and Amritesh Kumar, Algorithm for Multicast Opportunistic Routing in Wireless Mesh Networks, 6th ACM International Conference on Software and Computer Applications (ICSCA 2017), Bangkok, Thailand, Feb 26-28, 2017[Scopus Index].

  • Debasis Das and Harsha V., “Secure Opportunistic Routing for Vehicular Ad Hoc Networks”, Springer International Conference on Information and Communication Technology for Intelligent Systems(ICTIS) 2017, 25-26, March, 2017, Ahmedabad, India[Scopus Index].

  • Debasis Das and Harsha V., Connectivity Models for Wireless Sensor Networks: Algorithms, Classifications and Applications, IEEE International Conference on Inventive Computing and Informatics (ICICI 2017), November 23-24, 2017 ,Coimbatore, India[Scopus Index].

  • Rajib Bag, Debasis Das and Rajiv Kumar, “An Architecture of Smart Transportation System using modified RR algorithm and VANET, 8th ICCCNT 2017 : 8th International Conference on Computing Communication and Networking Technologies 2017, 3-5 July, 2017, IIT Delhi, India [Scopus Index, DBLP].

  • Debasis Das and Harsha V., “Design and Safety Verification for Vehicle Networks”, Springer International Conference on Ubiquitous Communications and Network Computing (UBICNET) 2017, 3-5 August 2017, Bangalore, India [Scopus Index, DBLP]..

  • Trupil Limbasiya, Debasis Das and Ram Narayan Yadav, A Reputation-Based Trust Management Model in Multi-hop Cognitive Radio Networks, 5th International Conference on Advanced Computing, Networking, and Informatics [ ICACNI - 2017 ], 01 - 03 June 2017, Goa, India [Scopus Index, DBLP].

  • Prasad Talasila, Aparajita Haldar, Suhas S. Pai, Neena Goveas, and Bharat M. Deshpande, , Multimodal Transit Scheduler: An Actor-based Concurrent Approach, 20th IEEE International Conference on Intelligent Transportation Systems, Yokohama, JAPAN. October 16 - 19, 2017.

  • Triple Limbasiya and Debasis Das, Secure Smart Vehicle Cloud Computing System for Smart Cities, Cloud Computing for Optimization: Foundations, Applications, and Challenges, Studies in Big Data 39, DOI: doi.org/10.1007/978-3-319-73676-1_15, Chapter 15, pp. 1-24, 2017.

  • Harsha V and Debasis Das, Secure Opportunistic Routing for Vehicular Adhoc Networks, “Pattern Engineering System Development for Big Data Analytics”, under the series of Advances in Data Mining & Database Management (ADMDM), ISSN: 2327-1981, IGI Global, US, Chapter 3, pp. 1-19, 2017.

  • Software & Tools

    • BITS Darshini: BITS A new open source network protocol analysis software released by researchers of our department. [Download]

    • Equivalence checkers for parallel models of computations [Download]
     
    • JavaAutolab: an automatic lab evaluation tool  [Download]
     

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