Academic Research and Careers for Students (ARCS) is an annual symposium organized by ACM India where research scholars of Computer Science and allied areas in India are invited to showcase their recent (accepted) work. ARCS provides a much needed forum for PhD students to interact with one another and with other experts in the area.
Apart from the contributed talks and poster presentations, ARCS comprises talks by the ACM-India Doctoral Dissertation Award recipient (DDA), Early Career Research (ECR) Awardee and an invited Keynote Speaker. Finally, we will also have several panel discussions.
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.
Startup Innovations in India
ARCS is committed to making participation in the event a meaningful experience for everyone, regardless of level of experience, in the Computing field.
Speakers : Rijurekha Sen (IIT Delhi)
Invited papers and PhD Clinic
Inclusive Language Technologies: From India to the World
Partha Talukdar (Google Research and IISc Bangalore)
Title: Journey in the field of graph algorithms
Keerti Chaudhary (IIT Delhi)
Title: Sensing for Societal Scale Impact
(Microsoft Research India)
Title: Pixels and Strings: The Excitement of Vision and Language Research
Ponnurangam Kumaraguru (PK)
Moderator: Kiran Deshpande (Former CEO, TechM)
Naganand Doraiswamy (Ideaspring Capital)
Aditi Vaidya (Quanfluence)
Sorav Bansal (CompileAI, IIT Delhi)
Title: The Making of a Researcher
Invited papers and PhD Clinic
Title : Effective Technical Writing
Karthik Ramaswamy (IISc)
Karthik Ramaswamy (IISc)
|Area||Paper Title||Link||Venue||Name||Institute||Presentation Date|
|AI||Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data||https://openreview.net/pdf?id=9DYKrsFSU2||NeurIPS 2022||Harsh Rangwani||IISc Bangalore||Feb 9|
|AI||Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks||link||NeurIPS 2022||Indradyumna Roy||IIT Bombay||Feb 9|
|AI||Learning Recourse on Instance Environment to Enhance Prediction Accuracy||link||NeurIPS 2022||Lokesh Nagalapatti||IIT Bombay||Feb 9|
|AI||Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions||link||ECCV 2022||Nikhil Reddy||IIT Delhi||Feb 9|
|AI||Multi-modal Extreme Classification||link||CVPR 2022||Anshul Mittal||IIT Delhi||Feb 9|
|AI||FairFoody: Bringing in Fairness in Food Delivery||link||AAAI 2022||Anjali Gupta||IIT Delhi||Feb 9|
|AI||DeepPS2: Revisiting Photometric Stereo using Two Differently Illuminated Images||https://arxiv.org/abs/2207.02025||ECCV 2022||Ashish Tiwari||IIT Gandhinagar||Feb 9|
|Systems||Designing Virtual Memory System of MCM GPUs||https://ieeexplore.ieee.org/document/9923857||MICRO 2022||B. Pratheek||IISc Bangalore||Feb 9|
|Systems||Certified Mergeable Replicated Data Types||https://kcsrk.info/papers/certified_mrdt.pdf||PLDI 2022||Vimala Soundarapandian||IIT Madras||Feb 9|
|Systems||Satisfiability Modulo Fuzzing: A Synergistic Combination of SMT Solving and Fuzzing||https://dl.acm.org/doi/pdf/10.1145/3563332||OOPSLA 2022||Sujit Kumar Muduli||IIT Kanpur||Feb 9|
|Systems||Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions||https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9488740||Infocom 2021||Aakash Khochare||IISc Bangalore||Feb 9|
|Systems||Minimizing the Sum of Age of Information and Transmission Cost under Stochastic Arrival Model||https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9488746||Infocom 2021||Kumar Saurav||TIFR||Feb 9|
|Theory||On the Satisfiability of Context-free String Constraints with Subword-Ordering||https://dl.acm.org/doi/10.1145/3531130.3533329||LICS 2022||Soumodev Mal||CMI||Feb 9|
|Theory||Synthesizing abstract transformers||https://dl.acm.org/doi/10.1145/3563334||OOPSLA 2022||Pankaj Kumar Kalita||IIT Kanpur||Feb 9|
|Theory||Proof-Guided Underapproximation Widening for Bounded Model Checking||https://link.springer.com/chapter/10.1007/978-3-031-13185-1_15||CAV 2022||Prantik Chatterjee||IIT Kanpur||Feb 9|
|Theory||Improved Pattern-Avoidance Bounds for Greedy BSTs via Matrix Decomposition||SODA 2023||Akash Pareek||IIT Gandhinagar||Feb 9|
|Theory||Separations between Combinatorial Measures for Transitive Functions||ICALP 2022||Chandrima Kayal||ISI Kolkata||Feb 9|
|AI||Unseen Classes at a Later Time? No Problem||https://arxiv.org/pdf/2203.16517.pdf||CVPR 2022||Hari Chandana K||IIT Hyderabad||Feb 10|
|AI||Energy-based Latent Aligner for Incremental Learning||https://arxiv.org/pdf/2203.14952.pdf||CVPR 2022||K. J. Joseph||IIT Hyderabad||Feb 10|
|AI||Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction||link||WWW 2022||Gourab Patro||IIT Kharagpur||Feb 10|
|AI||A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes||SIGIR 2022||Krishanu Maity||IIT Patna||Feb 10|
|AI||MTLVS: A Multi-Task Framework to Verify and Summarize Crisis-Related Microblogs||link||WSDM 2022||Rajdeep Mukherjee||IIT Kharagpur||Feb 10|
|AI||Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization||link||KDD 2022||Sarah Masud||IIIT Delhi||Feb 10|
|AI||The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through.||https://arxiv.org/pdf/2203.15364.pdf||Findings of ACL 2022||Shruti Singh||IIT Gandhinagar||Feb 10|
|AI||Sentiment and Emotion-Aware Multi-Modal Complaint Identification||https://ojs.aaai.org/index.php/AAAI/article/view/21476/21225||AAAI 2022||Apoorva Singh||IIT Patna||Feb 10|
|Systems||GPM: leveraging persistent memory from a GPU||https://doi.org/10.1145/3503222.3507758||ASPLOS 2022||Shweta Pandey||IISc Bangalore||Feb 10|
|Systems||AccelUPF: accelerating the 5G user plane using programmable hardware.||https://doi.org/10.1145/3563647.3563651||SOSR 2022||Abhik Bose||IIT Bombay||Feb 10|
|Systems||Catch Me If You Learn: Real-Time Attack Detection and Mitigation in Learning Enabled CPS||https://ieeexplore.ieee.org/document/9622383||RTSS 21||Ipsita Koley||IIT Kharagpur||Feb 10|
|Systems||New Wine in an Old Bottle: Data-aware Hash Functions for Bloom Filters||https://dl.acm.org/doi/10.14778/3538598.3538613||VLDB 22||Arindam Bhattacharyya||IIT Delhi||Feb 10|
|Systems||Projection-Compliant Database Generation||https://www.vldb.org/pvldb/vol15/p998-sanghi.pdf||VLDB 22||Anupam Sanghi||IISc Bangalore||Feb 10|
|Privacy||Tetrad: Actively Secure 4PC for Secure Training and Inference||https://www.ndss-symposium.org/wp-content/uploads/2022-58-paper.pdf||NDSS 2022||Nishat Koti||IISc Bangalore||Feb 10|
|Privacy||Secure Auctions in the Presence of Rational Adversaries||https://dl.acm.org/doi/pdf/10.1145/3548606.3560706||CCS 2022||Girisha Shankar||IISc Bangalore||Feb 10|
|Privacy||Timed speculative attacks exploiting store-to-load forwarding bypassing cache-based countermeasures||https://dl.acm.org/doi/10.1145/3489517.3530493||DAC 2022||Anirban Chakraborty||IIT Kharagpur||Feb 10|
|Privacy||Practical, Round-Optimal Lattice-Based Blind Signatures||https://dl.acm.org/doi/pdf/10.1145/3548606.3560650||CCS 2022||Anshu Yadav||IIT Madras||Feb 10|
Papers to be invited listed by PC committee: Dec 25, 2022
Paper list finalized: Dec 31, 2022
Invitations sent to accepted paper authors: Jan 7, 2023
Invitations accepted and travel arrangements: Jan 21, 2023
Ankit Anand (DeepMind)
Meghna Nasre (IIT Madras)
Abir De (IIT Bombay)
Anand Mishra (IIT Jodhpur)
Ayon Chakraborty (IIT Madras)
Biswabandan Panda (IIT Bombay)
Syamantak Das (IIIT Delhi)
Krithika Ramaswamy (IIT Palakkad)
Vireshwar Kumar (IIT Delhi)
Sambuddho Chakraborty (IIIT Delhi)
Mukulika Maity (IIIT Delhi)
Rinku Shah (IIIT Delhi)
Partha Pratim Talukdar, IISc
Rijurekha Sen (IIT Delhi)
Rajesh Shukla (OIST, Bhopal)
Dr Deepshikha Patel (OIST, Bhopal)
Chandrashekhar Sahasrabhdue (ACM India)
Rijurekha Sen, IIT Delhi, Chair
Meenakshi D'Souza, IIIT Bangalore
Ponnurangam Kumaraguru, IIIT Hyderabad
Sayan Ranu, IIT Delhi
Hemant Pande, ACM India
Chandrashekhar Sahasrabudhe, ACM India
|2022:||PSG College of Technology|
|2021:||PSG College of Technology|
|2020:||IIT Gandhi Nagar|
|2019:||Rajagiri School of Engineering and Technology - Kochi|
|2017:||Calcutta University/Amity University - Kolkata|
|2016:||Techno Park - Trivandrum|
|2015:||BITS Pilani - Goa|
Name: Program Committee
The Oriental Institute of Science & Technology, at Bhopal was established in the year 1995. Being the trailblazer among the self- financed Technical Educational Institutes of Central India, its founder Dr KL Thakral, worked meticulously with a team of dedicated personnel, to realize its holistic vision. The Institute is approved by AICTE, N. Delhi & Govt. of India and affiliated to RGPV Bhopal.
For the last two & a half decades, the Institute inspires awe in the society, with its rich blend of old & modern infrastructure, veteran & young faculty, academic & extracurricular activities, research & industry focus, with laurels brought forth by its resourceful alumni with startup ventures, aspiring to be unicorns. Many have received funds and recognition from government sector and are hiring Oriental pass out graduates. The professional stint of alumni in the MNCs, public sector and armed forces, has given them top notch positions, putting the Institute on a global map.
The Institute of late, has renewed accreditation for all its major courses, and brought in curricular renovation with courses on Computer Science & Business Systems, Artificial Intelligence & Machine Learning and Data Sciences. The quality is assured at all levels by apt Institutional governance and Quality Assurance Cell. Our USP is the student base, which stands out with a vibrant Student Activity Council that works round the year, conducting events of all nature. The students learn leadership and many traits alongside, to support them on job and in life.
Nestled in the beautiful city of lakes Bhopal, OIST is just few kilometers from Airport, Railway station and Bus stand- an ideal place to hold conference, wherein Academia and Researchers would get a new dimension with the International ACM Conference.
Bhopal is the capital city of the Indian state of Madhya Pradesh, known for its various natural as well as artificial lakes. Bhopal, also referred to as the ‘city of lakes’, is situated in- between two man-made lakes.
The city also boasts of major educational and research institutions like IIFM, NLIU, IIIT, IIHM, MANIT, BHEL, IISER and AMPRI.
The city has been selected as one of the first 20 Indian cities to be developed as a Smart City under the PM’s flagship Smart Cities Mission. Some of the main tourist attractions of the city are Upper Lake, Badi Jheel Lake, Van Vihar National Park, Lakshmi Narayana Temple and Gohar Mahal. Being an important travel destination, Bhopal is well-connected to other major Indian cities by air, road and rail.
How to reach Bhopal by Air
Bhopal Airport is well connected with rest of the major cities and towns such as Mumbai, Pune, Bangalore, Delhi etc. The Raja Bhoj Airport is located at a distance of approx 22 km from the OIST Bhopal. Tourists may hire a taxi or a cab from the airport to reach the place smoothly.
How to Reach Bhopal by Rail
Bhopal is best connected by train on the central and southern railways. You can easily get regular trains to Bhopal from other major cities of the country. It is well connected with trains from Mumbai, Bangalore to Delhi, Trivandrum etc. The Rani Habibganj railway station (Station Code: RKMP), is 12 kms & Bhopal railway station (Station Code: BPL), is 11 kms away from OIST Bhopal. The Rani Kamalapati Railway Station has been designed and built with the ultra-modern amenities like large covered parking area, 24X7 power backup, drinking water, air-conditioned lobby, offices, shops, high speed escalator, lift, anchor stores, automobile showrooms, convention centre, hotels, super specialty hospital, etc.
How to Reach Bhopal by Road
Regular state run and private bus services connect Bhopal to Ahmedabad, Kota, Jodhpur, Nagpur, Shirdi, Pune, Jaipur, Amravati, Vadodara, Surat and Nashik.
Bhopal is well connected with Bus service from Bhopal Transportation and Local transportation.
Abstract: Even though there are more than 7000 languages in the world, language technologies are available only for a handful of these languages. Lack of training data poses a significant challenge in developing language technologies for these languages. Recent advances in Multilingual Representation Learning presents an opportunity to transfer knowledge and supervision from high web-resource languages to languages with lower web-resources. In this talk, I shall present an overview of research in this promising and emerging area,c and also point to open problems in the area.
Bio: Partha is a Research Scientist at Google Research, Bangalore where he leads a group focused on Natural Language Understanding. He is also an Associate Professor (on leave) at IISc Bangalore. Previously, Partha was a Postdoctoral Fellow in the Machine Learning Department at Carnegie Mellon University. He received his PhD (2010) in CIS from the University of Pennsylvania. Partha is broadly interested in Natural Language Processing, Machine Learning, and Knowledge Graphs. Partha is a recipient of several awards, including an Outstanding Paper Award at ACL 2019. He is a co-author of a book on Graph-based Semi-Supervised Learning.
Abstract: In this talk, I will reflect on my research journey, beginning with start of my PhD program in 2013 in the field of graph algorithms. I will discuss some key challenges I faced, as well as the valuable advice and motivation provided by my advisor that helped me persevere and stay dedicated. I will conclude by sharing some insights and takeaways for current PhD students.
Bio: Keerti Choudhary is an assistant professor in Computer Science and Engineering department at IIT Delhi. Prior to this, she held post-doctoral positions at Tel Aviv University and Weizmann Institute of Science. She obtained her Ph.D. in Computer Science from IIT Kanpur in August 2017. She is broadly interested in the field of graph algorithms.
Abstract: Societal scale problems abound, be it in the domains of health or environment or safety or others. The emergence of low-cost sensing, whether packaged in a smartphone or otherwise, holds the promise of unlocking many a knotty problem in these domains. However, the devil is in the details --- identifying the “right” problem, devising robust techniques to harness low-cost devices, and charting a pathway from the lab to the real world. In this talk, I will discuss work at Microsoft Research India in the recent years on problems such as road safety, eye diagnostics, and pollution monitoring, bringing out both the technical nuances and the rewarding journey, with our partners, in touching a large and growing number of users.
Bio: Venkat Padmanabhan is Deputy Managing Director at Microsoft Research India in Bengaluru. He was previously with Microsoft Research Redmond, USA for nearly 9 years. Venkat’s research interests are broadly in networked and mobile computing systems, and his work over the years has led to highly-cited papers and paper awards, technology transfers within Microsoft, and also industry impact. He has received several awards and recognitions, including the Shanti Swarup Bhatnagar Prize in 2016, four test-of-time paper awards from ACM SIGMOBILE, ACM SIGMM, and ACM SenSys, and several best paper awards. He was also among those recognized with the ACM SIGCOMM Networking Systems Award 2020, for contributions to the ns family of network simulators. Venkat holds a B.Tech. from IIT Delhi (from where he received the Distinguished Alumnus award in 2018) and an M.S. and a Ph.D. from UC Berkeley, all in Computer Science, and has been elected a Fellow of the INAE, the IEEE, and the ACM. He is an adjunct professor at the Indian Institute of Science and was previously an affiliate faculty member at the University of Washington.
Abstract: I shall be starting with my research journey in vision and language, and discussing the thesis and some of the recent findings of my research group. Further, I shall be talking about our following two works in detail: vision-augmented Table-to-Text and Visual Translation. I shall conclude by discussing future research avenues in this space, and sharing my experience with the faculty position and opportunities at IIT Jodhpur.
Bio: Anand Mishra is a faculty member at the Department of Computer Science and Engineering and an affiliate faculty member at the School of AI and Data Science at IIT Jodhpur. Previously, Anand was a postdoctoral fellow at IISc Bangalore where he worked with Dr. Partha Talukdar on knowledge-aware computer vision. Anand received his Ph.D. from IIIT Hyderabad working on Scene Text Understanding under the supervision of Prof. C. V. Jawahar from IIIT and Dr. Karteek Alahari from Inria. Anand's group at IIT-J focuses on problems intersecting vision and language. Anand has received the prestigious Microsoft Research India Ph.D. Fellowship (in 2012), Google Travel Grant to attend CVPR (in 2012), IEEE Student Fellowship to attend ICCV (in 2013), the XRCI Doctoral Dissertation Award-First Runner Up (in 2015), Google Gift to attend AAAI (in 2019), the IIT-J Teaching Excellence Award (in 2020), and the Microsoft Academic Partnership Grant (in 2021). Recently, he was recognized as one of the outstanding reviewers at ICCV 2021.
Abstract: The journey from an unsure, dreamy but full-of-passion first-year Ph.D. student, to a savvy, accomplished researcher, driving their own research empire, is a long and challenging one, yet incredibly rewarding. In this talk I will try to lay out the salient milestones and learnings of this journey, with some personal anecdotes and a few well-known theorems. The talk will also touch on the subjects of finding meaning in the process (read-write-deliver), defining impact and the art of distillation.
Bio: Dr Nishant Sinha is a Computer Scientist and Engineer (Ph.D. Carnegie Mellon, B. Tech. IIT Kharagpur, ex-IBM Research). He is the Founder of OffNote Labs, a platform to encourage and do research without boundaries. He helps formulate, build and deploy data science solutions, and increase ROI for many companies, ranging from early-stage startups to Fortune 500 companies. He loves mentoring both individuals and teams on exciting deep learning projects across text, vision and speech domains.
Abstract: You may be doing dazzling research, but it is pointless if you cannot communicate your research effectively, particularly using the written word. This short workshop will attempt to demystify the process of science writing and equip you with the tools required to become a better writer.
Bio: Karthik Ram was a biologist in his former life. He is now a science communicator and teaches science writing at the Indian Institute of Science in Bangalore.