About ARCS ARCS 2022

Co-located with the ACM India Annual Event, ARCS (formerly IRISS) is a premier ACM India conference spanning two days. The program features:

  • Research scholars including the awardee(s) of ACM India best doctoral dissertation award talking about their published work,
  • Eminent early career researchers from industry and academia sharing their experiences, perceptions and ground realities of PhD, and the professional life thereafter,
  • The audience comprises students, faculty and industry leaders from across India coming together in an interactive environment, such as panel discussions, informal "Ask me Anything" sessions with the ARCS speakers as well as Annual Event invitees like Turing Award laureates.

    Editions of ARCS

    2021: PSG College of Technology
    2020: IIT Gandhi Nagar
    2019: Rajagiri School of Engineering and Technology - Kochi
    2018: VNIT/Persistent Nagpur
    2017: Calcutta University/Amity University - Kolkata
    2016: Techno Park - Trivandrum
    2015: BITS Pilani - Goa
    2014: IIT Delhi
    2013: IIT Madras
    2012: Pune
    2011: Hyderabad
    2010: Bangalore
    2009: IIT Guwahati
    2007: IIIT Hyderabad
    2006: IIT Madras
    2005: IIT Kanpur
    2004: IIT Bombay
    2003: IIT Delhi
    2002: IISc

    Highlights of ARCS ARCS 2022

    ARCS Keynote


    Talks by Early Career Researchers


    Early Career Researcher Awardee Keynote


    DDA Awardee Talk


    Contributed Talks


    Lightning Talks


    Poster Presentations


    Panel Discussion


    Institutional Awareness Session


    Interesting competitions and prizes to be won


    Call for Papers Paper Submission

    ACM India announces the 16th Academic Research and Careers for Students (ARCS) Symposium, Coimbatore, India. Earlier, the event was known as IRISS. ARCS invites research scholars of computer science and allied areas in India to showcase their recent work (either published in 2021 or accepted in 2021 for publication) to a conclave of researchers and potential employers.

    Apart from the contributed talks and poster presentations, ARCS 2022 will comprise talks by the ACM-India Doctoral Dissertation Award recipient (DDA), Early Career Research (ECR) Awardee and an invited Keynote Speaker. Further to this there will be four talks by early career researchers discussing the speaker’s transition from PhD to their career and job, their expectations, disappointments, why they chose what they did etc. Finally, we will also have several panel discussions.

    Submissions will be in electronic form via EasyChair. Submissions must not exceed 2 pages (including the title page, but excluding bibliography). Submissions should begin with a title followed by the names and affiliations of all co-authors. This should be followed by a detailed abstract and the details of the venue where the work has either appeared or been accepted for publication. Submissions should be no more than two pages long. The usage of pdflatex and the ARCS style file are mandatory; no changes to font size, page geometry, etc. are permitted. Because of ongoing pandemic we will accommodate virtual presentations, if needed. Click << here >> to download the ARCS style file.

    Important Dates
    Abstract Submission deadline: 10th October, 2021
    Notification to Authors: 1 st December, 2021

    Download Call for Papers

    Accepted Papers

    Full Paper

    • Arpita Patra and Ajith Suresh. BLAZE: Blazing Fast Privacy-Preserving Machine Learning
    • Arpita Patra, Thomas Schneider, Ajith Suresh and Hossein Yalame. ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation
    • Utpal Bora, Santanu Das, Pankaj Kukreja, Saurabh Joshi, Ramakrishna Upadrasta and Sanjay Rajopadhye. LLOV: A Fast Static Data-Race Checker for OpenMP Programs
    • Dileep Kumar Pattipati, Rupesh Nasre. and Sreenivasa Kumar P. Ontology-based Program Analysis Framework
    • Rajesh Kedia, Shikha Goel, M. Balakrishnan, Kolin Paul and Rijurekha Sen. Design Space Exploration of FPGA Based System with Multiple DNN Accelerators
    • Nikhil Gupta, Chandan Saha and Bhargav Thankey. A Super-Quadratic Lower Bound for Depth Four Arithmetic Circuits
    • Lokesh Siddhu, Rajesh Kedia and Preeti Ranjan Panda. Leakage Aware Dynamic Thermal Management of 3D Memories
    • Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Sameer Chivukula and George Tsatsaronis. Is Your Document Novel? Let Attention Guide You. An Attention Based Model For Document Level Novelty Detection
    • Aasheesh Dixit, Garima Shakya, Suresh Kumar Jakhar and Swaprava Nath. Egalitarian and Congestion Aware Truthful Airport Slot Allocation Mechanism
    • Sriram Bhyravarapu and Subrahmanyam Kalyanasundaram. Combinatorial Bounds for Conflict-free Coloring on Open Neighborhoods
    • Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu and Amitabha Bagchi. Balance Maximization in Signed Networks via Edge Deletions
    • Girija Limaye. Envy-freeness and Relaxed Stability : Hardness and Approximation Algorithms
    • Supratim Shit, Rachit Chhaya, Jayesh Choudhari and Anirban Dasgupta. Streaming Coresets for Symmetric Tensor Factorization
    • Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu and Ambuj Singh. GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs

    Short Paper

    • Varshini Subhash, Karran Pandey and Vijay Natarajan. GPU Parallel Computation of Morse-Smale Complexes
    • Koundinya Koorapati, Prem Kumar Ramesh, Sairam Veeraswamy, Rubini P and Usha Narasappa. Cohesive Context-Aware Ontology for IoT Deployed with SDDC
    • Charu Sharma and Manohar Kaul. Self-Supervised Few-Shot Learning on Point Clouds
    • Neeldhara Misra and Aditi Sethia. Fair Division is Hard even for Amicable Agents
    • Stanly Samuel, Kaushik Mallik, Anne-Kathrin Schmuck and Daniel Neider. Resilient Abstraction-Based Controller Design
    • Arijit Nath, Sukarn Agarwal and Hemangee Kapoor. Reuse Distance based Victim Cache for Effective Utilisation of Hybrid Main Memory System
    • Rachit Chhaya, Anirban Dasgupta and Supratim Shit. On Coresets For Regularized Regression
    • Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah and Ponnurangam Kumaraguru. SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning
    • Parwat Singh Anjana, Hagit Attiya, Sweta Kumari, Sathya Peri and Archit Somani. Efficient Concurrent Execution of Smart Contracts in Blockchains using Object-based Transactional Memory

    Poster/Speed Talk

    • Rampriya R S and Suganya R. 3D Point Cloud: Supervoxel Based Segmentation
    • Prakash Babu Yandrapati, Rajagopal Eswari and K Nimmi. Malayalam-English Code Mixed Sentiment Analysis Using Sentence BERT And Sentiment Features
    • Elizabeth B Varghese, Sabu M. Thampi and Stefano Berretti. A Psychologically Inspired Fuzzy Cognitive Deep Learning Framework to Predict Crowd Behavior
    • Saurabh Gupta, Anant Agarwal, Suryatej Reddy Vyalla, Arun Balaji Buduru and Ponnurangam Kumaraguru. #IVoted to #IGotPwned: Studying Voter Privacy Leaks in Indian Lok Sabha Elections on Twitter
    • Saurabh Gupta, Siddhant Bhambri, Karan Dhingra, Arun Balaji Buduru and Ponnurangam Kumaraguru. Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments
    • Saurabh Gupta, Arun Balaji Buduru and Ponnurangam Kumaraguru. imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks
    • Aishwarya Venkatesh, Yamini Agarwal, Yash Patil, Vidhu Rojit and Viraj Kumar. Collaborative Classroom
    • Palash Das and Hemangee K. Kapoor. CLU: A near-memory accelerator exploiting the parallelism in Convolutional Neural Networks
    • Madhu Kumari, Ananya Misra, Sanjay Misra, Luis Fernandez Sanz, Robertas Damasevicius and V.B. Singh. Quantitative Quality Evaluation of Software Products by Considering Summary and Comments Entropy of a Reported Bug
    • Ritwik Mishra, Aanshul Sadaria, Shashank Srikanth, Kanay Gupta, Himanshu Bhatia, Pratik Jain, Ponnurangam Kumaraguru and Rajiv Ratn Shah. Analyzing Traffic Violations through e-challan System in Metropolitan Cities (Workshop Paper)
    • Karthika Veeramani and Suresh Jaganathan. Land Registration: Use-case of e-Governance using Blockchain Technology
    • Jayant Vyas, Debasis Das and Sajal K Das. FedCom: Federated Learning Based Stress-Free Driver Recommendation System
    • Vinita Verma, Sunil K. Muttoo and V. B. Singh. Multiclass malware classification via texture statistics


    Programme Committee

    Sayan Ranu (IIT Delhi), Chair

    Names of rest of the committee members will be announced soon Ankit Anand (DeepMind)
    Amit Awekar (IIT Guwahati)
    Nipun Batra (IIT Gandhinagar)
    Abhijnan Chakraborty (IIT Delhi)
    Ayon Chakraborty (IIT Madras)
    Syamantak Das (IIIT Delhi)
    Manoj Gupta (IIT Gandhinagar)
    Neelima Gupta (University of Delhi)
    Aritra Hazra (IIT Kharagpur)
    Neeldhara Misra (IIT Gandhinagar)
    Adway Mitra (IIT Kharagpur)
    Meghna Nasre (IIT Madras)
    Swaprava Nath (IIT Kanpur)
    Biswabandan Panda (IIT Bombay)
    Rohan Paul (IIT Delhi)
    Krithika Ramaswamy (IIT Palakkad)
    Aishwarya Thiruvengadam (IIT Madras)
    Rohit Vaish (TIFR)
    Hamim Zafar (IIT Kanpur)

    Steering Committee

    Meenakshi D'Souza
    (Chair, IIIT, Bangalore)
    Jayant R. Haritsa
    (IISc Bangalore)
    Ponnurangam Kumaraguru
    (IIIT, Delhi)
    Hemant Pande
    (Executive Director, ACM India)
    Shekhar Sahasrabudhe
    (COO, ACM India)

    Organizing Committee

    R. Nadarajan
    Ranga Rajagopal
    (Director & CEO, ACENET Technologies, CBE)
    Suresh Balusamy
    Rajnish Sharma
    Dean (Research & Academics), Chitkara University

    Who helps us Platinum Sponsors

    Gold Sponsors

    Silver Sponsors

    Reach Us

    PSG College of Technology, Coimbatore

    Peelamedu, Avinashi Road
    Coimbatore, Tamilnadu, India

    Contact info

    Name: Program Committee

    Email: acmindia.arcs@gmail.com

    Local Organising Committee

    Name: Prof. R. Nadarajan

    Email: rn.amcs@psgtech.ac.in