CSE - IIT Kanpur

Web Name: CSE - IIT Kanpur

WebSite: http://www.cse.iitk.ac.in

ID:18208

Keywords:

CSE,IIT,Kanpur,

Description:

Sayash Kapoor - Motorola Gold Medal, 52nd Convocation, IITK for outstanding all-around achievement Neeraj Kumar - Best Software Award, 52nd Convocation, IITK for his work on online tools for teaching assistance 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, MS 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. Nidhi Hegde, an undergraduate student in CSE, has received the Google Women Techmakers Scholarship 2020 in the Asia Pacific (APAC) region. Shreya Kacholia, an undergraduate student in CSE, has received the Google Women Techmakers Scholarship 2020 in the Asia Pacific (APAC) region. Prof. Ashutosh Modi and his students Vishal Keswani and Sakshi Singh have won the first prize at FinSim Shared Task organized at Workshop on Financial Technology and Natural Language Processing (FinNLP). CSE PhD student Dhanajit Brahma and his supervisor Professor Piyush Raiisselected for the prestigious Qualcomm Innovation Fellowship 2020. Giving to Your Alma Mater -- CSE@IITK has initiated a major fund raising drive. Please help your alma mater to reach the next level of excellence! Seminar on Fairness in Algorithmic Decision Making byDr Abhijnan Chakraborty (Post-doctoral Researcher at the MaxPlanck Institute for Software Systems, Germany)on March 3rd, 2020(Tuesday) at 15:30 Hrs in KD-101. [Abstract] Seminar on Drones as On-Demand Infrastructure for Next-Generation Wireless Networks byDr. Ayon Chakraborty, Researcher at NEC Labson February 24th, 2020(Monday) at 15:30 Hrs in KD-101. [Abstract] Invited Talk on Proactive Security Techniques for Social Engineering Attacks and More byProf. Rakesh Verma, the University of Houstonon February 14th, 2020(Friday) at 13:00 Hrs in RM-101. [Abstract] Invited Talk on How do offenders select their targets? Agent-Based modeling approach byDr. Arvind Verma Professor, Criminology, Indiana University Visiting Professor, Center for Criminal Justice Research, IITKon February 7th, 2020(Friday) at 17:00 Hrs in KD-101. [Abstract] Invited Talk on Post Facto Cambridge Analytica: AI for Social Good byDr. Amitava Das Lead Scientist, Wipro AI Lab, Bangaloreon February 6th, 2020(Thursday) at 15:00 Hrs in KD-101. [Abstract] Seminar on Security and Privacy of Connected Autonomous Vehicles byDr. Vireshwar Kumar,a Postdoctoral Research Associate in the Department of Computer Science at Purdue Universityon February 3rd, 2020(Monday) at 15:30 Hrs in KD-101. [Abstract] Seminar on Redesigning how networks work to make the net work byDr. Praveen Tammana, Princeton Universityon January 27th, 2020(Monday) at 15:30 Hrs in KD-101. [Abstract] Seminar on Security Leaks and Defenses in Smart Wearables byProf. Diksha Shukla (Assistant Professor, University of Wyoming)on January 21st, 2020(Tuesday) at 18:00 Hrs in KD-101. [Abstract] Seminar on Text is not Text: Challenges in deep text understanding in professional domains byDr. Vijay Saraswat, MD and Global Head of AI R D, Goldman-Sachs, New Yorkon January 21st, 2020(Tuesday) at 16:00 Hrs in KD-101. [Abstract] Seminar on Bayesian Optimisation and Applications byProf. Sunil Gupta is currently an associate professor in artificial intelligence at Applied Artificial Intelligence Institute (A2I2), Deakin University, Australiaon January 17th, 2020(Friday) at 15:30 Hrs in KD-101. [Abstract] Seminar on Wadhwani AI: AI for Social Good by Prof. Alpan Raval, Head of Data Science at the Wadhwani Institute for Artificial Intelligenceon January 16th, 2020(Thursday) at 18:30 Hrs in RM-101. [Abstract] Invited Talk on Robust Unscented Kalman Filter for Power System Dynamic State Estimation using PMUs byLamine Mili Department of Electrical and Computer Engineering Virginia Tech, Northern Virginia Center Falls Church, VA 22043, USAon January 15th, 2020 (Wednesday) at 16:00 Hrs in KD-101. [Abstract] Invited Talk on Medical Imaging Informatics and Artificial Intelligence: An opportunity to democratize innovation in medicine byDr. Bishesh Khanal, Research Scientist and Chairperson of NAAMIIon January 14th, 2020(Tuesday) at 17:00 Hrs in KD-101. [Abstract] Invited Talk on Sustainability and Resiliency Enhancement of Electric Power and Communications Systems byLamine Mili Department of Electrical and Computer Engineering Virginia Tech, Northern Virginia Center Falls Church, VA 22043, USAon January 14th, 2020 (Tuesday) at 16:00 Hrs in RM-101. [Abstract] Seminar on Learning to Create Data byAmlan Kar,a 3rd year Ph.D. student at the University of Toronto on January 13th, 2020(Monday) at 16:00 Hrs in KD-101. [Abstract] Seminar on Building Trustworthy Computing Systems: From Hardware to Machine Learning and Back byProf. Siddharth Garg, an Assistant Professor at New York University in the ECE departmenton January 13th, 2020(Monday) at 11:00 Hrs in KD-101. [Abstract] Invited Talk on Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas byAshique KhudaBukhsh is currently a Project Scientist at the School of Computer Science, Carnegie Mellon University (CMU)on January 10th, 2020 (Friday) at 16:00 Hrs in KD-101. [Abstract] Seminar on Neural Module Networks for Reasoning over Text byNitish Gupta,a Ph.D. student in Computer Science at the University of Pennsylvaniaon January 10th, 2020(Friday) at 17:00 Hrs in KD-102. [Abstract] Satyadev Nandakumar, Prateek Vishnoi, "Randomness and effective dimension of continued fractions", 45th International Symposium on the Mathematical Foundations of Computer Science (MFCS), Prague, Czech Republic, 2020. Anjali, Nisheeth Srivastava, "Limits on Predictability of Risky Choice Behavior", Proceedings of CogSci 2020, Toronto, Canada, 2020. Harish Balakrishnan, Shobhit Jagga, Nisheeth Srivastava, "Inducing Preference Reversals by Manipulating Revealed Preferences", Proceedings of CogSci 2020, Toronto, Canada, 2020. Anveshna Srivastava, Nisheeth Srivastava, Sanjay Chandrasekaran, "Building strategies affect concept map quality", Biochemistry and Molecular Biology Education, 2020. Amey Bhangale, Diptarka Chakraborty, Rajendra Kumar, "Hardness of Approximation of (Multi-)LCS over Small Alphabet", International Conference on Approximation Algorithms for Combinatorial Optimization Problems (APPROX), Seattle, U.S. (shifted online), 2020. Ashish Dwivedi, Nitin Saxena, "Computing Igusa's local zeta function of univariates in deterministic polynomial-time", 14th Biannual Algorithmic Number Theory Symposium, ANTS-XIV, University of Auckland, New Zealand, 2020. Abhibhav Garg, Nitin Saxena, "Special-case algorithms for blackbox radical membership, Nullstellensatz and transcendence degree", 45th International Symposium on Symbolic and Algebraic Computation (ISSAC), Kalamata, Messinia, Greece, 2020. Priya Mishra, Tushar Agrawal, Preeti Malakar, "Communication-aware Job Scheduling using SLURM", 16th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems, Edmonton, Canada (shifted online), 2020. Ashish Kumar, Naman Jain, Preeti Malakar, "Network and Load-aware Resource Manager for MPI Programs", 16th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems, Edmonton, Canada (shifted online), 2020. Darshak Hasmukhbhai Chhatbar, Umair Z Ahmed, Purushottam Kar, "MACER: A Modular Framework for Accelerated Compilation Error Repair", 21st International Conference on Artificial Intelligence in Education (AIED 2020), Ifrane, Morocco (shifted online), 2020. Pravendra Singh, Vinay P. Namboodiri, "SkipConv: Skip Convolution for Computationally Efficient Deep CNNs", IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland, UK, 2020. Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri, "Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution", IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland, UK, 2020. Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri, "Minimizing Supervision in Multi-label Categorization", IEEE/CVF Conference on Computer Vision and Pattern Recognition - Workshop Proceedings (CVPR-W), Seattle, Washington, USA, 2020. Pravendra Singh, Prem Raj, Vinay P. Namboodiri, "EDS Pooling Layer", Image and Vision Computing - Journal, 2020. Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri, "Acceleration of Deep Convolutional Neural Networks using Adaptive Filter Pruning", IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2020. Samuel Pakalapati, Biswabandan Panda, "Bouquet of Instruction Pointers: Instruction Pointer Classifier-based Spatial Hardware Prefetching", 47th International Symposium on Computer Architecture (ISCA), Valencia, Spain, 2020. Deepak Sirone, Pramod Subramanyan, "Functional Analysis Attacks on Logic Locking", IEEE Transactions on Information Forensics and Security, vol. 15, pp. 2514-2527, 2020. Shubham Sahai, Rohit Sinha, Pramod Subramanyan, "Verification of Quantitative Hyperproperties Using Trace Enumeration Relations", 32nd International Conference on Computer-Aided Verification (CAV), Los Angeles, CA, 2020. Rohit Negi, Aneet Kumar Dutta, Anand Handa, , Ujjwal Ayyangar, Sandeep Kumar Shukla, "Intrusion Detection & Prevention in Programmable Logic Controllers: A Model-driven Approach", IEEE International Conference on Industrial Cyber Physical Systems (ICPS 2020), Finland, June, 2020. Priyanka Golia, Kuldeep S. Meel, Subhajit Roy, "Manthan : A Data Driven Approach for Skolem Function Synthesis", 32nd International Conference on Computer-Aided Verification (CAV), Los Angeles, California, USA, 2020. Preeti Malakar, Vijay Natarajan, Sathish S. Vadhiyar, "Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications", 20th International Conference on Computational Science, Amsterdam, The Netherlands, 2020. Nitesh Kumar, Ajay Singh, Anand Handa, Sandeep Kumar Shukla, "Detecting Malicious Accounts on the Ethereum Blockchain with Supervised Learning", The 4th International Symposium on Cyber Security Cryptology and Machine Learning (CSCML 2020),, Be'er Sheva, Israel, 2020. Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri, "Leveraging Filter Correlations for Deep Model Compression", IEEE Winter Conference on Applications of Computer Vision (WACV), Colorado, United States, 2020. Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai, , "A "Network Pruning Network" Approach to Deep Model Compression", IEEE Winter Conference on Applications of Computer Vision (WACV), Colorado, United States, 2020. Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri, "CPWC: Contextual Point Wise Convolution for Object Recognition", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020. Surender Baswana, Partha Pratim Chakrabarti, Sharat Chandran, Yashodhan Kanoria, Utkarsh Patange, "Centralized Admissions for Engineering Colleges in India", Interfaces, vol. 49, no. 5, pp. 338-354, 2019. Surender Baswana, Shreejit Ray Chaudhury, Keerti Choudhary, Shahbaz Khan, "Dynamic DFS in Undirected Graphs: Breaking the O(m) Barrier", SIAM J. Comput, vol. 48, no. 4, pp. 1335-1363, 2019. Umair Z. Ahmed, Nisheeth Srivastava, Renuka Sindhgatta, Amey Karkare, "Characterizing the Pedagogical Benefits of Adaptive Feedback for Compilation Errors by Novice Programmers", International Conference on Software Engineering (ICSE 2020), Seoul, 2020. Brett A Becker, Paul Denny, Raymond Pettit, Durell Bouchard, Dennis J Bouvier, Brian Harrington, Amir Kamil, Amey Karkare, Chris McDonald, Peter-Micha, "Compiler Error Messages Considered Unhelpful: The Landscape of Text-Based Programming Error Message Research", Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, pp. 177-210, 2019. Srijeeta Maity, Anirban Ghose, Soumyajit Dey, Swarnendu Biswas, "Thermal Load-aware Adaptive Scheduling for Heterogeneous Platforms", VLSID 2020, Bengaluru, India, 2020. Rui Zhang, Swarnendu Biswas, Vignesh Balaji, Michael D. Bond, and Brandon Lucia, "Peacenik: Architecture Support for Not Failing under Fail-Stop Memory Consistency", ASPLOS, Lausanne, Switzerland, 2020. He Zhao, Piyush Rai, Lan Du, Wray Buntine, Dinh Phung, and Mingyuan Zhou, "Variational Autoencoders for Sparse and Overdispersed Discrete Data", AISTATS, Palermo, Sicily, Italy, 2020. Palash Dey, Swaprava Nath, Garima Shakya, "Testing Preferential Domains Using Sampling", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019, Concordia University, Montreal, Canada, 2019. Palash Dey, Pravesh K. Kothari, Swaprava Nath, "The Social Network Effect on Surprise in Elections", ACM India Joint International Conference on Data Science & Management of Data (CoDS-COMAD), pp. 1-9, ACM, 2019 [finalist for the best paper], 2019. Palash Dey, Swaprava Nath, Garima Shakya, "Testing Preferential Domains Using Sampling", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019. Palash Dey, Neeldhara Misra, Swaprava Nath, Garima Shakya, "A Parameterized Perspective on Protecting Elections", International Joint Conference on Artificial Intelligence (IJCAI), 2019.

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