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.
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Events/ Seminar Corner

  • Prof. Gopal Gupta from University of Texas at Dallas will talk on "Automated Common Sense Reasoning" at RM 101 at 5  pm on April 21st 2017, Friday. 
  • SIGML seminar on "Deep Learning: Building Models beyond English through Bilingual Learning" by Rahul Agrawal, Microsoft on Monday April 17, 2017 at 4PM in KD101 [ABSTRACT].
  • Dr. Himadrisekhar Paul from the TCS Innovations Lab in Kolkata will talk on "Future of Industries" at 5 pm on April 18, 2017 at KD 102. 
  • On April 15, 2017 at 11 am at KD 101, we will have a local entrepreneur Mr. Gaurav Dubey talk about how blockchain based Products are being used in various businesses, including Smart Contract. He is also looking to sponsor semester long hackathons on various blockchain based application development. The talk should be of interested to anyone interested in Block Chain technology and its uses. 
  • Mr. Umakant Soni, IIT Kanpur  alumni and founder of Pi Ventures will discuss entrepreneurial opportunities leveraging AI technologies on Saturday, April 22, 2017 at 5 - 7 pm at RM 101. 
  • Dr. Pravin Bhagawat -- the founder of the Mojo networks give a talk on "Mojo Networks Journey" about his journey into entrepreneurship and the success of Mojo Networks at 3 pm at KD 101.

  • Mr. Mohammed Amir Ali from New Castle University, UK will deliver a talk on their recent attack on credit card payment system based on a "distributed guess attack" on March 27, 2017 (Monday) at 3:30  pm in the room KD 101.
  • SIGML Seminar on "How Deep Learning Revolutionized Speech Recognition" by Sunayana Sitaram (Microsoft Research) on Friday February 10, 2017 at 5PM in KD101. [ABSTRACT]

Recent Publications

  • Irreducibility and deterministic r-th root finding over finite fields. Vishwas Bhargava, Gábor Ivanyos, Rajat Mittal & Nitin Saxena. 42nd International Symposium on Symbolic and Algebraic Computation (ISSAC), 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
  • AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos, A. Kar, N. Rai, K. Sikka, G. Sharma, In Computer Vision and Pattern Recognition (CVPR), 2017 (accepted, to appear)
  • An Empirical Evaluation of Visual Question Answering for Novel Objects, S. K. Ramakrishnan, A. Pal, G. Sharma, A. Mittal, In Computer Vision and Pattern Recognition (CVPR), 2017 (accepted, to appear)
  • Mainak Chaudhuri, Mukesh Agrawal, Jayesh Gaur, Sreenivas Subramoney. Micro-sector Cache: Improving Space Utilization in Sectored DRAM Caches. ACM Transactions on Architecture and Code Optimization, vol. 14, 2017.
  • Diptarka Chakraborty, Satyadev Nandakumar, Himanshu Shukla. On Resourse-bounded Versions of the van Lambalgen's Theorem. TAMC 2017.
  • Van-Thuan Pham, Sakaar Khurana, Subhajit Roy and Abhik Roychoudhury. Bucketing Failing Tests via Symbolic Analysis. FASE 2017.
  • Vivek Gupta, Siddhant Mittal, Sandip Bhaumik, Raj Roy. Assisting Humans to Achieve Optimal Sleep by Changing Ambient Temperature. BIBM 2016.
  • Vivek Gupta, Harish Karnick, Ashendra Bansal, Pradhuman Jhala. Product Classification in E-commerce using Distributional Semantics. COLING 2016 Posters.
  • Arnab Ghosh, Viveka Kulharia, Amitabha MukerjeeVinay P. Namboodiri and Mohit Bansal, "Contextual RNN-GANs for Abstract Reasoning Diagram Generation" AAAI 2017.
  • Rahul Arora, Ishan Darolia,  Vinay P. Namboodiri, Karan Singh and Adrien Bousseau,"SketchSoup: Exploratory Ideation using Design Sketches" Computer Graphics Forum, accepted, to appear.
  • Yeshi Dolma and Vinay P. Namboodiri, "Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributes" ACCV 2016.
  • A. Aggarwal, S. Ghoshal, A. M S, S. Sinha, G.Ramakrishnan, Purushottam Kar and P. Jain, Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning, AAAI 2017.
  • Sudhanshu Shukla and Mainak Chaudhuri. Tiny Directory: Efficient Shared Memory in Many-core Systems with Ultra-low-overhead Coherence Tracking. HPCA 2017.
  • Jayesh Gaur, Mainak Chaudhuri, Pradeep Ramachandran, Sreenivas Subramoney. Near-optimal Access Partitioning for Memory Hierarchies with Multiple Heterogeneous Bandwidth Sources. HPCA 2017.
  • Prakhar Banga, Atul R Pai, Subhajit Roy, Mainak Chaudhuri. Accelerating Schedule Space Exploration of Multi-threaded Programs with GPUs. MEMOCODE 2016.
  • Prachi Josi, Vedahari Narasimhan G., Haibo Zeng, Sandeep K. Shukla, Chung-Wei Lin, Huafeng Yu, "Design Space Exploration for Time-Triggered Ethernet-based Architecture of Automotive Systems", IEEE HLDVT 2016. 
  • Trading Determinism for Time in Space Bounded Computations. Vivek Anand T Kallampally and Raghunath Tewari. MFCS 2016.

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