The third version of the ACM India Grad Cohort, a pan-India digital workshop for girls in computing, hosted by the Indian Institute of Technology Gandhinagar (IITGN), was held from July 24 to 26, 2020.
The workshop was co-organized by IITGN, ACM-W India Council (the Association for Computing Machinery’s India Council on Women in Computing), and the ACM India Council, and was supported by Google and TCS.
The three-day on-line occasion acquired an amazing response as over 200 girls graduate college students from the sector of computing registered for the workshop, and over 100 individuals attended every of the 16 classes.
The workshop kickstarted with opening remarks by co-organizers of the event- Prof Neeldhara Misra, school in Computer Science & Engineering at IITGN and member of ACM-W; Dr Heena Timani, Chairperson of ACM-W, India and co-founder & director of a data-analytics startup; and Prof Nutan Limaye, school in Computer Science & Engineering at IIT Bombay and vice-chairperson of ACM-W.
Helping girls within the subject of computing
The workshop was outlined with fascinating interactive classes with skilled girls researchers from the sector of Computer Science & Engineering from the world over with an intention to assist Indian girls graduate college students within the subject of computing cope with numerous conditions by their graduate years and past.
The first keynote lecture of this workshop was delivered by Dr. Sunita Sarawagi, Professor of Computer Science & Engineering, IIT Bombay, on July 24, 2020, on the subject “Machine Learning Models: From Birth to Serving the Real-World”.
Dr. Sawawagi can also be a recipient of the Infosys Prize 2019 in Engineering and Computer Science for her pioneering work in creating data extraction strategies for unstructured knowledge.
Explaining the journey and recognition of machine studying fashions, Dr. Sawawagi mentioned, “Machine Learning has grown into one of the most popular fields of not just computer science but possibly the whole of science-related domains. There are thousands of real-world uses of Machine Learning models, depending on the type of inputs they receive.”
“With the availability of a large amount of labelled data for training, gradual advancement in hardware, and optimization of algorithm coupled with a few engineering tricks, machine learning achieved record-breaking accuracy that can even surpass the human capacity,” she additional added.
She additionally mentioned, “This gave it a lot of prominence in many tasks such as object and speech recognition, translation, and so on. Machine Learning models have high memorising power and hence, offer great performance.”
She additionally talked about a number of the challenges that must be addressed, similar to area the variation drawback, which may be solved with fine-tuning and retraining the mannequin.
Dr. Sarawagi concluded her discuss with the message that though lots of work has been carried out in Machine Learning, much more nonetheless must be carried out, and therefore it continues to be an thrilling course for additional analysis in computing.
The second keynote discuss was delivered by Dr. Meena Mahajan, Professor of Computer Science & Engineering, IMSc, Chennai, on July 25, 2020. She spoke on “My Enchantment with Computational Complexity”. Dr. Mahajan’s works on Matching Theory and Proof Complexity have been very influential.
During her discuss, she shared her fascinating experiences from her skilled life and the affect of leisure arithmetic and puzzle-solving on her analysis work.
Explaining her matters of curiosity, she mentioned, “Computational complexity is all about understanding how much resource is needed to solve a particular problem. The resource can be anything — time, space, number of steps taken by a computer program to give the result or solve a problem.”
“It is concerned with proving facts about objects that are unknown to us by using techniques like logical reasoning and arguments.” She additionally talked about two sub-areas of computational complexity she has labored on – circuit complexity and proof complexity.
Concluding her discuss, she mentioned, “Every unknown (lower bound) in complexity theory is a puzzle yet to be solved. Finding solutions is a highly creative activity, and there is a place for everyone to work in this field.”
Interactions with senior researchers
There have been a complete of 16 shows and interactive classes by totally different girls specialists over the course of three days, with alternatives for the individuals to interact in one-on-one networking/dialogue with senior researchers, each from business and academia, to simulate the ambiance of an actual convention in the course of the breaks.
They guided the scholars in numerous elements of their graduate careers, similar to discovering a analysis subject, honing their studying and writing expertise, reaching work-life steadiness, alternatives past graduate faculty and far more.
Most discussions within the occasion have been calibrated to be related within the context of the worldwide pandemic. The two-panel discussions have been on the matters of “Work-Life Balance and Working from Home” and “Dealing with Uncertainty & Other Challenges during Graduate School”.
The occasion additionally featured a movie screening and three contests (together with a social media contest, a brand contest, and a pc artwork contest). Results can be introduced on the occasion web site round mid-August.