ACM India & Annual Event 2019
ACM, the Association for Computing Machinery is the world's largest educational and scientific society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field's challenges. ACM awards the Turing Award (aka Noble Prize in Computing). ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking. ACM is recording a healthy growth in India, and ACM India was launched in 2010 to increase the focus on the country.
Who can Attend?
ACM India has been organizing annual flagship events to discuss trends in science and technology, and to celebrate ACM's spirit and India's accomplishments in computing. This event is attended by ACM Turing Award winners, ACM Office Bearers, researchers and IT professionals.
Annual Event 2019 @Cochin
ACM India announces its annual event for the year 2019 to be held at Rajagiri School of Engineering & Technology, Cochin on February 08, 2019. The event is organized by ACM Cochin Professional Chapter in association with the Rajagiri School of Engineering & Technology, Cochin, Kerala. CSPathshala Workshop, iSIGCSE Workshop and IRISS are co-located ACM events with ACM India Annual Event 2019.
Join ACM Annual Event 2019
Register your participation, plan your travel and select your convenient accomodation facilities.
Annual Event 2019 @Cochin
ACM India has been organizing annual flagship events to discuss trends in science and technology, and to celebrate ACM's spirit and India's accomplishments in computing. This event is attended by ACM Turing Award winners, ACM Office Bearers, researchers and IT professionals.
Event Schedule
ACM India announces its annual event for the year 2019 to be held at Rajagiri School of Engineering & Technology, Cochin on February 08, 2019. The event is organized by ACM Cochin Professional Chapter in association with the Rajagiri School of Engineering & Technology, Cochin, Kerala.
Day 01 Event Schedule
February 06, 2019 @ 09:30 am - 06:00 pm
09:30 AM - 09:45 AM Opening Remarks: Prof. Jayant R. Haritsa and Dr. Hemant Pande
09:45 AM - 11:00 AM Early Career Researcher Keynote: Dr. Sayan Ranu (IIT Delhi)
11:00 AM - 11:30 AM Tea Break
11:30 AM - 12:30 PM Paper Presentations by Ph.D. Scholars (Session A)
Lunch + Posters
01:30 PM - 03:30 PM Early Career Researcher Presentations by Dr. Neeldhara Misra (IIT Gandhinagar), Dr. Piyush Rai (IIT Kanpur), Dr. Rohith Vallam (IBM IRL), Dr. Nithin Shivashankar (Mimyk)
03:30 PM - 04:00 PM Tea Break
04:00 PM - 05:00 PM Paper Presentations by PhD Scholars (Session B)
05:00 PM - 06:00 PM Institutional Awareness Presentations (Academia and Industry)
Venue : Department of Computer Science, Cochin University of Science and Technology
February 6, 2019 (4:00 pm to 7:30 pm)
Day 02 Event Schedule
February 07, 2019 @ 09:00 am - 06:00 pm
09:00 AM - 10:00 AM IRISS Keynote: Prof. Vinod Prabhakaran (TIFR Mumbai)
10:00 AM - 10:30 AM Tea Break
10:30 AM - 11:30 AM Presentation by Doctoral Dissertation Award Recipients Dr. Keerti Choudhary, IIT Kanpur "Compact and Efficient Fault Tolerant Structures for Directed Graphs" Dr. Deepesh Data, TIFR "Communication Complexity and Characterization Results in Secure Computation"
11:30 AM - 12:30 PM Paper Presentations by Ph.D. Scholars (Session C)
Lunch break
01:30 PM - 02:30 PM Paper Presentations by Ph.D. Scholars (Session D)
02:30 PM - 04:00 PM Managing a Research Career (Panel)
Moderator: Prof. R. Ramanujam (IMSc)
Prof Hema Murthy, CSE, IIT-Madras, Dr Shourya Roy, American Express, Dr Lipika Dey, TCS
04:00 PM - 09:00 PM Cultural Event and Dinner
Day 03 Event Schedule
February 08, 2019 @ 09:00 am - 05:00 pm
Tea break
PROF.SANJEEV ARORA
Princeton University, USATitle: What is Machine Learning and Deep Learning?
Abstract: Machine learning is the sub-field of computer science concerned with creating programs and machines that can improve from experience and interaction. It relies upon mathematical optimization, statistics, and algorithm design. The talk will be an introduction to machine learning. We describe the mathematical foundations of basic types of learning such as supervised, unsupervised, interactive, etc.. We discuss the ongoing efforts to achieve mathematical understanding of deep learning, as well as related learning methods.
PROF.SANGHAMITRA BANDYOPADHYAY
Director, Indian Statistical Institute, Kolkata, IndiaTitle: Multiobjective Clustering and Applications
Lunch break
PROF.CHARLES E. LEISERSON
MIT Computer Science and Artificial Intelligence LaboratoryTitle: The Resurgence of Software Performance Engineering
Abstract: Today, most application developers write code without much regard for how quickly it will run. Moreover, once the code is written, it is rare for it to be reengineered to run faster. But two technology trends of historic proportions are instigating a resurgence in software performance engineering, the art of making code run fast. The first is the emergence of cloud computing, where the economics of renting computation, as opposed to buying it, heightens the utility of application speed. The second is the end of Moore's Law, the 50-year technology trend which has, until recently, relentlessly doubled the number of transistors on a semiconductor chip every two years. With the attenuation of this major source of computing performance, application programmers will increasingly find themselves turning to software performance engineering in order to develop innovative products and applications.
Tea break
PROF.NOAM NISAN
Hebrew University of JerusalemTitle: The Complexity of Pricing
Abstract: As economic systems "move" to the Internet, they may become much more complex, and this new complexity often becomes their defining characteristic. We will consider a very simple scenario of this form: a single seller that is selling multiple items to a single buyer. We will discuss the question of how *complex* must the pricing scheme be in order for the seller to maximize (approximately, at least) his revenue. Based on joint works with Sergiu Hart, with Shaddin Duhgmi and Li Han and with Moshe Babioff and Yannai Gonczarowsk
Annual Event 2019 @Cochin
ACM India has been organizing annual flagship events to discuss trends in science and technology, and to celebrate ACM's spirit and India's accomplishments in computing. This event is attended by ACM Turing Award winners, ACM Office Bearers, researchers and IT professionals.
Speakers
SANJEEV ARORA
Princeton University, USA Area: Theoretical Computer ScienceAwards: Gödel Prize, Fulkerson Prize
NOAM NISAN
Hebrew University of Jerusalem Area: Computational Complexity Theory & Algorithmic Game TheoryAwards: Gödel Prize, Knuth Prize
CHARLES E. LEISERSON
Massachusetts Institute of Technology Area: Parallel Computing & Distributed ComputingAwards: Paris Kannelakis Theory and Practice Award (2013), Ken Kennedy Award (2014)
Developed the Cilk Multithreaded Language
SANGHAMITRA BANDYOPADHYAY
Director, Indian Statistical Institute, Kolkata, India Research Interests: Computational Biology & Bioinformatics, Soft & Evolutionary Computation, Pattern Recognition & Data MiningAwards: Bhatnagar Award (2010) and Infosys Prize (2017)
Event Sponsors
ACM India thanks Industry Partners for their Support.
iSIGCSE Schedule
Knowledge-Sharing Workshop on
Improving the Quality of Examinations in Computer Science and Related Disciplines
ACM India Special Interest Group in Computer Science Education (iSIGCSE)
ACM India invites Controllers of Examinations as well as Members of the Boards of Studies, Heads of Departments and Faculty in Computer Science and related disciplines to this Knowledge-Sharing Workshop.
Venue : Department of Computer Science, Cochin University of Science and Technology
February 6, 2019 (4:00 pm to 7:30 pm)
Prof. Madhavan Mukund
CMIA case study in aligning assessments (theory & lab) to learning outcomes of a course: Operating Systems
Abhijat Vichare
CC2020/iSIGCSEBreak for tea and discussions
The aims of this workshop are:
1. To arrive at a consensus on the challenges in improving the quality of Computer Science education.2. To discuss how the quality of examinations can be improved in the spirit of the recent AICTE recommendations, keeping the above challenges in mind.
Background: The recently released AICTE report on Examination Reforms notes that “reforms in examinations are critical for improvement of the quality and relevance of Indian engineering education”. The report recommends ( 1 ) aligning assessments to well-defined learning outcomes, and ( 2 ) mapping examination questions to levels of the revised Bloom’s Taxonomy (cognitive domain) to ensure that at least some questions “test higher order abilities and skills” of students. Institutions with institutional (NAAC) or program (NBA) accreditation have developed mechanisms to implement recommendation ( 1 ), but it is considerably more challenging to implement recommendation ( 2 ).