DeepTech.AI

DeepTech.AI

Theme: Building Trustworthiness in Artificial Intelligence – TWAI

Background

Artificial Intelligence (AI) is transforming societies around the world by offering innovative solutions. However, several questions related to the ethics, privacy, data security, regulatory mechanism and social good centred around trustworthiness need to be addressed to tap the full potential of AI.

Trustworthy AI (TWAI) has been gaining significant attention from the government, industry, and scientific communities – for example the new regulations from EU, US, India and other countries, the Pause Giant AI Experiments urge AI pause, among others. In June 2023, US President and Indian Prime Minister acknowledged the risks associated with AI, including generative AI, and have committed to mitigating discrimination and bias associated with the technology and agreed to work together on producing trustworthy AI.

DeepTech.AI will bring together speakers, delegates from various industry verticals, and researchers with diverse backgrounds, including industry leaders, policymakers, government representatives and frontier academic researchers and data scientists, to share cutting-edge knowledge, inspiring views in this timely and trending domain. This will help in identification of challenges and mutual strengths and create opportunities to build and strengthen partnerships and collaborations.

Venue

Ericsson office, Aquamarine building, Bagmane World Technology Centre, outer ring road, Mahadevapura, Bangalore -48

Registration

Date

30th November 2023

Speakers

Principal Data and Applied Scientist, Microsoft Research

Monojit Choudhury

Monojit is a Principal Data and Applied Scientist in Turing India. He builds large universal language models that form the backbone of various Microsoft products. Prior to this, he was a Principal researcher at Microsoft Research Lab India, and strongly collaborates with colleagues from MSR. His research interests cut across the areas of Linguistics, Cognition, Computation and Society. He has a B.Tech and Ph.D. in Computer Science and Engineering from IIT Kharagpur and had been at Microsoft Research since 2007.

Professor, Indian Institute of Science

Chiranjib Bhattacharya

Chiranjib Bhattacharyya is currently  Professor and the chair of the Department of Computer Science and Automation, Indian Institute of Science. His research interests are in foundations of Machine Learning, Optimisation and their applications to Industrial problems. He has authored numerous papers in leading journals and conferences in Machine Learning. Some of his results have won best paper awards. He joined the Department of CSA, IISc, in 2002 as an Assistant Professor. Prior to joining the Department, he was a postdoctoral fellow at UC Berkeley. He holds BE and ME degrees, both in Electrical Engineering, from Jadavpur University and the Indian Institute of Science, respectively, and completed his PhD from the Department of Computer Science and Automation, Indian Institute of Science. He is also a fellow of Indian Academy of Engineering.

Principal Researcher, Ericsson Research

Swarup Kumar Mohalik

Swarup Kumar Mohalik is currently a principal engineer with Ericsson Research India. His research interests include formal verification, discrete control synthesis, communication protocols, semantic networks, and automotive systems.

Email:swarup.kumar.mohalik@ericsson.com

Technical Fellow, Boeing

Seema Chopra

Seema is Boeing India’s first Technical Fellow for Artificial Intelligence and is working on next generation health management technologies and digitization/automation using text mining & image processing for commercial and defense applications. She has 22 patents, 10 trade secrets and, over 35 publications in various International/National journals and conferences, to her name and authored a book chapter on smart manufacturing using AI. She is responsible for strategy planning based on customer requirements and coordinate the roadmap, budget, resources with multi-disciplinary, globally-dispersed teams across Boeing businesses and its partners. Certified Black belt – DFSS Lean Six Sigma and has been recognized by several awards for her leadership and technical expertise including 2022 Innovator of the year award by Aditya Birla group and Nasscom, 2021 Safety & quality award & Technical replication Innovation award, 2021 IEEE TEMS Women Achiever Award, BDS Global Team of the year award, 2019 IEEE Women in Engineering Achiever Award, PHM Expertise award from President & CEO, GE Power Gen Services and GE Impact award from CEO of GE, for volunteering on Mid-Day meal. She was listed as one of top 51 Indian Women Achiever and her contributions to STEM are published in e-Book on “Indian Women in STEM “ by CII Tamil Nadu Technology Development & Promotion Centre (TNTDPC).

Principal Engineer, Cisco Meraki

Amit Saha

Amit Saha is a Principal Engineer in the Camera Intelligence team in Cisco Meraki, leading projects on advanced Machine Learning features and Machine Learning Operations (MLOps) for Meraki’s smart cameras. Before Cisco, he was with Juniper Networks, working on the QFabric project, building the industry’s first massively distributed data center switch. Prior to that, he was with Tropos Networks, building and deploying WiFi based outdoor mesh networks.

He passionately seeks out opportunities to give back to academia through research collaborations, organising conferences, and as visiting faculty and invited speaker. He is a member of the COMSNETS association and is the Founding Chair of the IMOBILE ACM Chapter (the India Chapter of SIGMOBILE, started in 2019). He has been a guest faculty at IIT Kharagpur (his alma mater), IIT Gandhinagar, KLE Tech Hubli, IIT Dharwad, and SRM University Andhra Pradesh. He is also currently serving as an expert member of the Board of Studies (BoS) of The Communication and Computer Engineering (CCE) Department at the LNM Institute of Information Technology, Jaipur.

Distinguished Engineer, IBM

Sameep Mehta

Sameep Mehta is IBM Distinguished Engineer at IBM Research AI. He leads the global Data Strategy for AI. His research interests includes Innovations in Data Lifecycle, Trusted AI & Meta Data Management. He is regular speaker at various technical forums and is recipient of multiple best & runner-up best paper awards at top AI conferences. He holds Adjunct Faculty Position at IIT-Jodhpur and IIIT-Delhi. Recently, he has co-authored a book AI for You – The New Game Changer which aims to demystify AI for Business Leaders. Prior to joining IBM Research, Sameep received his Ph.D. from The Ohio State University in 2006.

Email:sameepmehta@in.ibm.com

Principal Data Scientist, Ericsson R&D

Srinivas Kundeti

Srinivas has 20+ years professional experience in commercial or web-scale, Cloud and Big Data system software development and delivery in Enterprise setting working with Data science teams. He has lead architecture and design of master data management and data governance projects through all phases of the project life cycle from planning. His interests are in the areas of Large-Scale Machine Learning, Computer Vision related data problems.

Email:srinivas.kundeti@ericsson.com

Head, AI Center of Excellence , Intel

Gopalan Oppiliappan

Gopalan heads the AI Center of Excellence in Intel India, where he leads a team of AI Research Scientists, Machine Learning Engineers to deliver transformational AI capabilities for Intel’s supply chain and product development verticals. With over 6 years of experience in AI, data science, and advanced analytics, he has a proven track record of delivering value, innovation, and impact through AI and analytics solutions.

His core competencies include machine learning, natural language processing, optimization, data mining, and data visualization. He has successfully led the deployment of AI algorithms for various use cases, such as demand forecasting, equipment parts optimization and Graph CNNs based AI implementations. Currently, he is leading projects in Generative AI for Q&A and Code explanation and Code generation LLMs. The CoE’s work has been recognized in globally, in conferences like NeurIPS, IEEE and in IECS.

Co-Founder, Trini AI

Shiv Shankar

Shiv Shankar is the co-founder and CEO at Trini Corporation (www.trini.ai). At Trini AI, they have built trustworthy vertical AI solutions to enable enterprises engage with end users in a personalized way. Their core focus lies in building an AI-native digital concierge, which is trained on the enterprise’s proprietary and specialized domain-specific dataset, that allows enterprises deeply understand user intent and deliver personalized and delightful user experiences. By harnessing the power of these models and the user insights, the enterprises can now deploy strategies that improve productivity, revenue and reduce overall costs. Currently they are focusing on the insurance segment, but their solutions are domain agnostic.

He is also the co-founder of a consumer-tech startup called Prizwiz, which was recently recognized as one of the “Top 100 startups to watchout for” by IDFC Bank in association with Moneycontrol, CNBC-TV18 and Forbes India. It was during the development of Prizwiz when they identified the need for a customer-facing AI solution that can simplify a user’s discovery process when engaging with enterprises.

Before getting into the startup world, he worked for 16+ years with a US based MNC named Swagelok, where he held multiple positions from sales to operations. Lastly, he was based in the US as the global market and product manager where he implemented global marketing strategies to drive business growth. Shiv Shankar is a mechanical engineer and holds an MBA in International Business.

TCS

Prasant Misra

Prasant Misra is a Senior Scientist at Tata Consultancy Services – Research, where he works on intelligent cyber physical systems for smart mobility. He is a Visiting Faculty at the Robert Bosch Centre for CPS, IISc Bangalore. 

He has published over 60 scientific and position papers in the field of CPS/IoT, mobile systems, and electric mobility. He has been felicitated by numerous honors and awards for his work, of which it is noteworthy to mention the MIT TR 35 – India “Top 10 Innovators under the age of 35 in India” and the TCS “Exemplary Contribution Award” in 2017; the ERCIM “Alain Bensoussan” and “Marie Curie” Fellowship in 2012; and the Australian Government’s AusAID “Australian Leadership Awards” Scholarship in 2008. He is a recipient of the Best Paper Award (in the applied data science track) at ACM India CODS-COMADS 2023; and has won the Best Poster Paper Award at ACM SenSys 2016 and EWSN 2013.

Agenda

Slot TopicSpeaker(s)
09:00 – 09:30Welcome and Registration
09:30 – 9:50Welcome AddressSunil Kumar Vuppala, Organizing Chair
Chandramouli Sarogar, Head R&D, Ericsson
9:50 – 10:15LLMs should be Aligned, Yes, but with Which and Whose Values?Monojit Choudhury, Microsoft Research
10:15 – 10.40Challenges of Al-driven Diagnosis of Chest Xrays transmitted through Smart Phones: Lessons from XraySetuProf Chiranjib Bhattacharya, IISc
10:40 – 11:05Formal VerificationSwarup Kumar Mohalik, Ericsson R&D
11:05 – 11:35Break
11:35– 12:00Explainable Artificial Intelligence (xAI)Seema Chopra, Boeing
12:00 – 12:50Panel Discussion
Topic: Challenges and Opportunities to make Al Trustworthy
Sameep Mehta, IBM
Gopalan Oppiliappan, Intel
Shiv Shankar, Trini Al
Srinivas Kundeti, Ericsson
Moderator: Amit Saha, Cisco
12:50 – 13:00IEEE CS Technologist AwardPrasant Misra, TCS
13:00 – 13:05Closing RemarksPrasant Misra, TCS
13:05 – 14.00Lunch Break(Venue: Rooftop Floor, Citrine Building)

Organizers

Dr. Sunil Vuppala

Amit Saha

Cisco Meraki.
IEEE Computer Society Bangalore Chapter

The IEEE Computer Society is a growing and diverse community of computing professionals
and the most trusted source for information, inspiration, and collaboration in computer
science and engineering. IEEE Computer Society Bangalore Chapter is a professional chapter of IEEE Computer Society focusing on the regions of the state of Karnataka, India

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