Welcome !

The Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur) was the first department in India to start Computer Science education. It started in August 1963 with an IBM 1620 system - a novelty then, even in many North American and European universities. The department runs BTech, MTech and PhD programs and is engaged in cutting edge research with sponsored projects and consultancies. Many of the nation's leading experts, educationists and consultants in computer science today are the alumni of this department.

Events/ Seminar Corner

  • Talk on "On the power of Conditional Sampling" by Sourav Chakraborty on January 29, 2018 Monday at KD-101 11:00 AM. [ABSTRACT]
  • Talk on "Optimal Quasi-Gray Codes: Does the Alphabet Matter?" by  Diptarka Chakraborty (Post-Doctoral researcher at Charles University, Prague) on January 17, 2018 (Wednesday) at KD-101 5:00 PM. [ABSTRACT]
  • Invited Talk on "Smart Living: The Next Frontier" by Prof. Sajal K. Das, IEEE Fellow (Daniel St. Clair Endowed Chair, Department of Computer Science, Missouri University of Science and Technology, USA) on January 12, 2018 Friday at RM-101 3:30 PM. [ABSTRACT]
  • Seminar on "Probabilistic Models and Inference Algorithms for Single-cell Genomics: Applications in Cancer Evolution" by Hamim Zafar (PhD candidate, CS department, Rice University) on 16th January, 2018 at RM-101 3:30 PM. [ABSTRACT]
  • Seminar on "Practical Support for Serializability-Based Memory Consistency" by Dr. Swarnendu Biswas (UT Austin) on 8th January, 2018 (Monday) at KD-101 5:00 PM. [ABSTRACT]
  • Seminar on "Reconstruction of depth three circuits with top fan-in two" by Gaurav Sinha (Microsoft, Cal, USA) on 5th January, 2018 at KD-102 4:30 PM. [ABSTRACT]
  • A GIAN course on "Sketching and Sampling for Big Data Analysis" is being organized from January 1 to 6, 2018 at PBCEC IIT Kanpur. The speaker is Prof. David Woodruff, from the Carnegie Mellon School for Computer Science, Carnegie Mellon University, Pittsburg, USA. [ABSTRACT]
  • Seminar on "Planar Graph Perfect Matching is in NC" by Vijay V. Vazirani, (University of California, Irvine) on 3rd January, 2018 (Wednesday) in KD-101 5:15 PM. [ABSTRACT]
  • Talk on "Throughput-Optimal Algorithms for Generalized Flow Problems" by Dr. Abhishek Sinha (Qualcomm Research, San Diego, CA) on January 15, 2018 at KD101 11:00 AM [ABSTRACT]
  • Talk on "Towards Secure and Privacy-aware Cyber-Physical Systems and IoT" by Rajesh K. Gupta (UCSD) on 29th December, 2017 at 3:30 PM in RM101. [ABSTRACT]
  • Talk on "Towards Secure and Privacy-aware Cyber-Physical Systems and IoT" by Mani Srivastava (UCLA) on 29th December, 2017 at 2:30 PM in RM101. [ABSTRACT]
  • Industry talk by Arvind Agarwal (IBM Research) on "Deep Learning for Text Generation" on Nov 02, 2017 (Thu) at 1530 hrs at KD101. [ABSTRACT]

Recent Publications

  • He Zhao, Piyush Rai, Lan Du, Wray Buntine, "Bayesian Multi-label Learning with Sparse Features and Labels", AISTATS 2018, Canary Islands, Spain, 2018.
  • Shashank Sharma, Vinay P. Namboodiri, "No Modes left behind: Capturing the data distribution effectively using GANs", AAAI 2018, New Orleans, USA, 2018.
  • Prachi Rani, Arpit Jangid, Vinay P. Namboodiri, K.S. Venkatesh, "Visual Odometry based Omni-directional Hyperlapse", NCVPRIPG 2017, Mandi, India, 2017.
  • G S S Srinivas Rao, Neeraj Thakur, Vinay P. Namboodiri, "Reactive Displays for Virtual Reality", ISMAR 2017 (Poster Proceedings), Nantes, France, 2017.
  • Ankush Gupta, Arvind Agarwal, Prawaan Singh, Piyush Rai, "A Deep Generative Framework for Paraphrase Generation", AAAI, New Orleans, USA, 2018.
  • W. Wang, Y. Pu, V. Verma, K. Fan, Y. Zhang, C. Chen, Piyush Rai, Lawrence Carin, "Zero-Shot Learning via Class-Conditioned Deep Generative Models", AAAI, New Orleans, USA, 2018.
  • Sushmita Paul, Dhanajit Brahma, "An Integrated Approach for Identification of Functionally Similar MicroRNAs in Colorectal Cancer", IEEE/ACM Transactions on Computational Biology and Bioinformatics, pp. 1--11, 2017.
  • Amey Karkare, "TwAS: Two-stage Shape Analysis for Speed and Precision", ACM/SIGAPP Symposium On Applied Computing, Pau, France, 2018.
  • Devendra Kumar Luna, Girish Palshikar, Manoj Apte, Arnab Bhattacharya, "Finding Shell Company Accounts using Anomaly Detection", CoDS-COMAD 2018, Goa, India, 2018.
  • Milan Someswar, Arnab Bhattacharya, "MineAr: Using Crowd Knowledge for Mining Association Rules in the Health Domain", CoDS-COMAD 2018, Goa, India, 2018.
  • Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Harish Karnick, "User Bias Removal in Review Score Prediction", CoDS-COMAD 2018, Goa, India, 2018.
  • Gurkirat Singh*, Dhawal Upadhyay*, Medha Atre, "Efficient RDF Dictionaries with B+ trees", CoDS-COMAD 2018, Goa, India, 2018.
  • Surender Baswana, Keerti Choudhary, Moazzam Hussain, Liam Roditty. Approximate Single Source Fault Tolerant Shortest Path. ACM-SIAM Symposium on Discrete Algorithms (SODA) 2018.
  • Surender Baswana, Ayush Goel and Shahbaz Khan. Incremental DFS algorithms: a theoretical and experimental study. ACM-SIAM Symposium on Discrete Algorithms (SODA) 2018.
  • Kanakagiri Raghavendra, Biswabandan Panda, and Madhu Mutyam, “MBZip: Multi-Block Data Compression”, In ACM Transactions on Architecture and Code Optimization, 2017.
  • Consistent Robust Regression, Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, and Purushottam Kar, NIPS 2017.
  • Nisheeth Srivastava and Ed Vul. A simple model of recognition and recall memory. NIPS 2017
  • Low Dimensional Deep Features for Facial Landmark Alignment
  • Segmentation Guided Attention Networks for Visual Question Answering
  • Dennis Antony Varkey, Biswabandan Panda, and Madhu Mutyam, "RCTP: Region Correlated Temporal Prefetcher". ICCD 2017
  • Sudhanshu Shukla and Mainak Chaudhuri. Sharing-aware Efficient Private Caching in Many-core Server Processors. ICCD 2017.
  • Sahil Verma and Subhajit Roy. Synergistic Debug-Repair of Heap Manipulations. ESEC/FSE 2017.
  • Smriti Jaiswal, Praveen Hegde, Subhajit Roy. Constructing HPSSA over SSA. SCOPES '17.
  • SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries by Shiladitya Pande, Sayan Ranu, and Arnab Bhattacharya at VLDB, 2017
  • Mohamed Asan Basiri M and Sandeep K. Shukla, Flexible VLSI Architectures for Galois Field Multipliers, Integration, the VLSI Journal,
       
  • Prachi Joshi, S. S. Ravi, Soheil Samii, Unmesh Bordoloi, Sandeep Shukla, Haibo Zeng. "Offset Assignment to Signals for Improving Frame Packing in CAN-FD".  accepted for IEEE Real-Time Systems Symposium (RTSS 2017). Paris, France.  December 2017. 
  • Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics. Sourav Dutta, Pratik Nayek, Arnab Bhattacharya. WWW 2017.
  • Mutable concepts and enactable analogies: how manipulatives help in learning area. Jeenath Rahaman, Harshit Agarwal, Nisheeth Srivastava and Sanjay Chandrasekharan. Cognitive Science.

  • Mohamed Asan Basiri M and Sandeep K Shukla, "Flexible Composite Galois Field GF ((2^m)^ 2 ) Multiplier Designs", accepted for  VDAT 2017: 21st International Symposium on VLSI Design and Test.
  • Rourab Paul and Saneep Kumar Shukla, "A High Speed KECCAK Coprocessor for Partitioned NSP Architecture on FPGA Platform", accepted at VDAT 2017: 21st International Symposium on VLSI Design and Test. 
  • Prachi Joshi, Haibo Zeng, Unmesh D. Bordoloi, Soheil Samii, S. S. Ravi and Sandeep Shukla, "The Multi-Domain Frame Packing Problem for CAN-FD" at ECRTS 2017, Dubronvik, Croatia, June 2017. 
  • Memory of relative magnitude judgments informs absolute identification. Nisheeth Srivastava CogSci 2017
  • A rational analysis of marketing strategies. Nisheeth Srivastava and Ed Vul. CogSci 2017
  • Rationalizing subjective probability distortions. Nisheeth Srivastava and Ed Vul. CogSci 2017
  • Intertemporal impulsivity can also arise from persistent failure of long-term plans: Comment on Nettle & Pepper (2017) Nisheeth Srivastava and Narayanan Srinivasan. In Behavioral and Brain Sciences
  • Scratchpad Sharing in GPUs; Vishwesh Jatala, Jayvant Anantpur, 
    Amey Karkare in ACM Transactions on Architecture and Code Optimization (accepted)
  • Automatic Grading and Feedback using Program Repair for Introductory Programming Courses; Ziyaan Dadachanji, Praveen Kumar Singh, Sagar Parihar, Rajdeep Das, Amey Karkare and Arnab Bhattacharya in Innovation and Technology in Computer Science Education (ITiCSE)‚Äč 2017
  • Trading Determinism for Time in Space Bounded Computations. Vivek Anand T Kallampally and Raghunath Tewari. MFCS 2016.

Latest News

  • Embedded System Design for IoT: A Full-Residential Short Term Course organized by Prof Amey Karkare from Feb 2nd to 4th, 2018 at NOIDA Outreach Campus of Indian Institute of Technology, Kanpur. Visit the website for details and registration.
  • Prof. T. V. Prabhakar has been awarded SKOCH GOLD award in the category of "Technology for Growth" to IIT Kanpur for his AgMOOC project.
  • Prof. Surender Baswana has been awarded the prestigious "Humboldt fellowship for Experienced researchers" -- by the Humboldt Foundation of Germany.
  • Vishwesh Jatala, PhD student working under the supervision of Prof. Amey Karkare in the Department of Computer Science and Engineering received a "Best Poster Award" at the 24th IEEE International Conference on High Performance Computing, Data, and Analytics, Student Research Symposium (HiPC, SRS), for his work titled " GREENER: A Tool for Improving Energy Efficiency of GPU Register File"
  • FSTTCS'17 and the three related workshops were hosted by the department this year. Around 125 researchers took part from around the globe.
  • Professor T.V. Prabhakar, Department of Computer Science and Engineering has been selected for the Teaching Innovator Award-2016 of MHRD, New Delhi based on his work on mooKIT, a futuristic teaching technology.
  • Umair Z. Ahmed has been awarded the IBM PhD fellowship for the year 2017-18.
  • DST sanctioned 14.43 crores (~2.2 millions USD) for the Interdisciplinary Center for Cyber Security and Cyber Defense of Critical Infrastructures. Congratulations Prof. Sandeep Shukla, Prof. Manindra Agrawal, and others in the proposal team. Press Release.
  • Prof. Manindra Agarwal is elected as a Foreign associate of the US National Academy of Sciences.