Computer

Deep learning has become the new norm for a wide range of video analysis tasks, ranging from simple classification to synthesizing realistic new videos from text inputs. Keeping up with state-of-the-art DL algorithms has never been harder. Even the 'Transformer' has been given a new meaning. This presentation will uncover the mystery of deep learning in plain language and explain how those algorithms are deployed to products. More importantly, the audience will learn what it takes to become a deep learning engineer. The presentation will cover the following topics: - Recent advances in deep learning and self-supervised learning (video classification). - How are deep learning algorithms commercialized? - Career roadmap for aspirant candidates Speaker(s): Dr. Peng Dai, Virtual: https://events.vtools.ieee.org/m/326443

Recorded Material: Please click here to view the recorded technical talk. On Thursday, February 18, 2021 at 6:00 p.m., IEEE Computer Chapter is hosting the technical talk “Derivative Data Security using Artificial Intelligence”. Day & Time: Thursday, February 18, 2021 6:00 p.m. – 9:00 p.m. Speaker: Zia Babar Organizer: IEEE Toronto Computer Chapter Location: Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses. Contact: Younas Abbas Abstract: Data security the most dynamic and ever evolving trade becomes even significant while dealing with large volumes of unstructured data. To comply with regulation and standards like GDPR it is important to understand, equip and keep abreast of new tools and techniques in data security. Enterprises are increasingly storing large volumes of unstructured data. However, irrespective of the data format or type, unstructured data is difficult to secure and control its transfer. This is a major problem due to evolving compliance policies and the need to adhere to standards such as GDPR. Through derivative data security practices, enterprises can utilize machine learning and deep learning techniques to determine and trace clones and derivatives of unstructured data across the enterprise. In this talk, Zia Babar will provide a background on data security approaches, and provide a demonstration on machine learning and deep learning techniques can be used for providing derivative data security. Register: Please visit https://events.vtools.ieee.org/m/252704 to register. Biography: Zia Babar (https://www.linkedin.com/in/zbabar/) has 20 years of professional industry experience, He has deep expertise in the design, development and deployment of enterprise applications, data engineering platforms and distributed systems, with a particular focus on incorporating machine learning practices and cognitive services into software applications. Zia obtained his PhD from the University of Toronto where his research studies focused on the analysis and design of cognitive systems for enabling enterprise transformation. He is presently the Director of Research and Development at WinMagic. Previously, he worked in companies like Teradata where he developed Teradata’s first ML framework, NCR where he was responsible for designing and developing large-scale data processing systems, and Luminous Networks (acquired by Cisco) where he designed and built distributed systems. He is also presently engaged in a multi-year research engagement with IBM Research Labs and is a startup technical mentor at WeWork Labs. Further, he is the organizer of multiple technology meetup groups in both Toronto and Waterloo, and a frequent speaker at technical events and conferences.

On Thursday, November 26, 2020 at 6:00 p.m., Swarup Bhunia will present “Security of the Internet of Things (IoT): Are We Paranoid Enough?”. Day & Time: Thursday, November 26, 2020 6:00 p.m. – 9:00p.m. Speaker: Swarup Bhunia of U. of Florida NSF SFS Program Organizer: IEEE Toronto Computer Society Location: Virtual – Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses. Contact: Younas Abbas Abstract: The session will help IoT enthusiasts understand the challenges of security implementation at the hardware level for modern electronic hardware. Security has become a critical design challenge for modern electronic hardware. With the emergence of the Internet of Things (IoT) regime that promises exciting new applications from smart cities to connected autonomous vehicles, security has come to the forefront of the system-design process. Recent discoveries and reports on numerous security attacks on microchips and circuits violate the well-regarded concept of hardware trust anchors. It has prompted system designers to develop a wide array of design-for-security and test/validation solutions to achieve high-security assurance for electronic hardware, which supports the software stack. At the same time, emerging security issues and countermeasures have also led to interesting interplay between security, verification and interoperability. Verification of hardware for security and trust at different levels of abstraction is rapidly becoming an integral part of the system design flow. The global economic trend that promotes outsourcing of design and fabrication process to untrusted facilities coupled with the prevalent practice of system on chip design using untrusted third-party intellectual property blocks (IPs), has given rise to the critical need of trust verification of IPs, system-on-chip design, and fabricated chips. The talk will also cover a spectrum of security challenges for IoTs and describe emerging solutions in creating secure trustworthy hardware that can enable IoT security for the mass. Agenda: 6:00 PM: Virtual Registration and welcome remarks by session chair and vice chair 6:20 PM: Technical Session 8:20 PM: Q & A 8:50 PM: Closing Register: Please visit https://events.vtools.ieee.org/m/240161 to register. Biography: Swarup Bhunia received his B.E. (Hons.) from Jadavpur University, Kolkata, India, and the M.Tech. degree from the Indian Institute of Technology (IIT), Kharagpur. He received his Ph.D. from Purdue University, IN, USA, in 2005. Currently, Dr. Bhunia is a preeminence professor and Steven Yatauro Faculty Fellow in the department of Electrical and Computer Engineering at University of Florida, Gainesville, FL, USA. Earlier, Dr. Bhunia has served as the T. and A. Schroeder associate professor of Electrical Engineering and Computer Science at Case Western Reserve University, Cleveland, OH, USA. He has over twenty years of research and development experience with over 250 publications in peer-reviewed journals and premier conferences and ten edited or authored books (two upcoming) in the area of VLSI design, CAD and test techniques. His research interests include low power and robust design, hardware security and trust, adaptive nanocomputing and novel test methodologies. He has worked in the semiconductor industry on RTL synthesis, verification, and low power design for about three years. Dr. Bhunia received IEEE-CS TCVLSI Distinguished Research Award (2018), IBM Faculty Award (2013), National Science Foundation (NSF) career development award (2011), Semiconductor Research Corporation (SRC) technical excellence award (2005) as a team member, best paper award in ACM Transactions on Design Automation of Electronic Systems (TODAES 2017), best paper award in IEEE BioMedical Circuits and Systems Conference (BioCAS 2016), best paper award in International Conference on VLSI Design (VLSI Design 2012), best paper award in International Conference on Computer Design (ICCD 2004), best paper award in Latin American Test Workshop (LATW 2003), and best paper nomination in Asia and South Pacific Design Automation Conference (ASP-DAC 2006) and in Hardware Oriented Test and Security (HOST 2010), nomination for John S. Diekhoff Award, Case Western Reserve University (2010) and SRC Inventor Recognition Award (2009). Dr. Bhunia has been serving as founding editor-in-chief in Journal of Hardware and Systems Security (HaSS), an associate editor of IEEE Transactions on CAD (TCAD), IEEE Transactions on Multi-Scale Computing Systems (TMSCS), ACM Journal of Emerging Technologies (JETC), and Journal of Low Power Electronics (JOLPE). He has served as a guest editor of IEEE Design & Test of Computers (2010, 2013), IEEE Computer Magazine (2016), IEEE Transcation on CAD (2015), and IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2014). He has served as co-program chair of IEEE IMS3TW 2011, IEEE NANOARCH 2013, IEEE VDAT 2014, and IEEE HOST 2015, and in the technical program committee of Design Automation Conference (2014-2015), Design Automation and Test in Europe (DATE 2006-2010), Hardware Oriented Trust and Security Symposium (HOST 2008-2010), IEEE/IFIP International Conference on VLSI (VLSI SOC 2008), Test Technology Educational Program (TTEP 2006-2008), International Symposium on Low Power Electronics and Design (ISLPED 2007-2008), IEEE/ACM Symposium on Nanoscale Architectures (NANOARCH 2007-2010), IEEE International Conference on VLSI (ISVLSI 2008-2010), International Conference of VLSI Design as a track chair (2010) and in the program committee of International Online Test Symposium (IOLTS 2005). Dr. Bhunia has given tutorials on low-power and robust design and test in premier conference including International Test Conferences (ITC 2009), VLSI Test Symposium (VTS 2010), and Design Automation and Test in Europe (DATE 2009). He is a distingusihed ACM speaker and a senior member of IEEE. Lab Website | New Text Book