Recent & Upcoming Talks | Dr.Alex

Safe Planning in Autonomous Driving

Tue, 18 Nov 2025 10:30:00 +0000

Presentation at Workshop on Foundation Models for V2X Cooperative Autonomous Driving (DriveX) at the IEEE International Conference on Intelligent Transportation Systems (ITSC) 2025.

Autonomous Driving: Introduction, Technologies, and the Planning Problem

Sat, 16 Aug 2025 16:00:00 +0000

Presentation at Lectorium Science in the Hands of Engineers at the IT Picninc 2025.

Uncertainty and Safety In Autonomous Driving

Wed, 11 Jun 2025 09:00:00 +0000

Presentation at Workshop on Uncertainty Quantification for Computer Vision (UQCV) at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025.

ML4AD Best Papers Award Ceremony

Tue, 04 Mar 2025 15:45:00 +0000

Presentation at Workshop on Machine Learning for Autonomous Driving (ML4AD) at the AAAI Conference on Artificial Intelligence (AAAI) 2025.

Intelligent Mapping Solutions

Tue, 04 Mar 2025 08:20:00 +0000

Presentation at Workshop on Out-of-Label Hazards in Autonomous Driving (COOOL) at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025.

Middle Mile and Foundation Models

Tue, 24 Sep 2024 10:20:00 +0000

Presentation at Workshop on Foundation Models for Autonomous Driving (FMAD) at the IEEE International Conference on Intelligent Transportation Systems (ITSC) 2024.

Combining IMitation and Reinforcement Learning for Safe Autonomous Driving

Tue, 18 Jun 2024 11:30:00 +0000

Presentation at Workshop on Data-Driven Autonomous Driving Simulation (DDADS) at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024.

Scaling Laws for Autonomous Driving Models

Thu, 14 Dec 2023 14:15:00 +0000

Presentation at Machine Learning for Autonomous Driving 2023 (ML4AD) Symposium.

AI in Education – Revolution and Future

Sat, 14 Oct 2023 09:00:00 +0000

I was invited as a panelist for the Panel Talk-7: ‘AI in Education – Revolution and Future’ on 2023 IDEAS Global AI Conference.

Autonomous Driving: From Basics to Behavior Challenges

Thu, 13 Jul 2023 00:00:00 +0000

Presentation during Industrial Webinars Stream of Master’s Programme ‘Master of Computer Vision’.

Behavior Modeling and Learned Motion Selection for Safe Driving

Mon, 19 Jun 2023 14:00:00 +0000

Presentation at Secure and Safe Autonomous Driving (SSAD) Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

Artificial Intelligence for Autonomous Driving

Tue, 06 Jun 2023 11:00:00 +0000

I was invited as a panelist for the ‘Artificial Intelligence for Autonomous Driving’ panel discussion at IEEE Conference on Artificial Intelligence 2023.

Self-driving: Introduction, Challenges and Open Questions

Thu, 25 May 2023 00:00:00 +0000

I was invited by Deep Learning School to make a presentation about the current landscape of research in Autonomous Driving Area.

Autonomy: Introduction of ML for High School

Fri, 28 Apr 2023 00:00:00 +0000

Presentation done for students of Mountain View High School with the overview of the Autonomy Stack, related problems, and possible new jobs that students can face in the future.

Autonomy: Open Questions

Sun, 26 Mar 2023 00:00:00 +0000

Presentation done during 2023 Spring Retreat at University of California, Berkeley organizied by Berkeley DeepDrive and Berkeley Artificial Intelligence Research.

Certified Robustness: Fundamentals and Challenges

Tue, 24 Jan 2023 18:00:00 +0000

Presentation made for webinars’ stream of NTR LABS.

Mathematics and Theory in Deep Learning with Aleksandr Petiushko

Wed, 09 Nov 2022 00:00:00 +0000

I was invited by the Deep Learning School to talk about the importance of mathematics and theory knowledge when working inside ML/DL domain.

Autonomy Challenges

Tue, 11 Oct 2022 18:00:00 +0000

I was invited to make a presentation at University of California, Berkeley lecture organized by Berkeley DeepDrive.

Interviews in AI

Fri, 11 Feb 2022 09:30:00 +0000

Industry in AI

Fri, 11 Feb 2022 09:00:00 +0000

Trends in AI: Multi-modality, Multi-tasking, Effectiveness

Thu, 27 Jan 2022 00:00:00 +0000

I was invited by the UpGreat Technology Contests to make a presentation about the current landscape of research in Generative AI during the closing of the Read//Able Contest.

Effective Multi-modal Multi-task models

Wed, 24 Nov 2021 00:00:00 +0000

I was invited by the Sirius Educational Center to make a presentation about the current landscape of research in Generative AI during the Machine Learning and Artificial Intelligence Technologies Workshop.

Lightening of models by design

Sat, 30 Oct 2021 00:00:00 +0000

Together with E.Tutubalina I was invited by the ODS (program) to make a presentation about the efficient NLP models.

Certified Robustness, High Dimensions and Computer Vision

Fri, 29 Oct 2021 00:00:00 +0000

I was invited by the HSE University and Skoltech (program) to make a presentation about the current statistical fundamentals and challenges of certified robustness. Event details: link1, link2.

Interviews in Deep Learning research with Aleksandr Petiushko

Fri, 03 Sep 2021 00:00:00 +0000

I was invited by the Deep Learning School to talk about the different stuff around ML/DL interviews, how to prepare, what to expect, etc.

Neural Tangent Kernel: Introduction

Tue, 03 Aug 2021 00:00:00 +0000

I was invited by the Sirius Educational Center to make a presentation about the basics and important problems of NTK AI during the Summer school on Modern Methods for Information Theory, Optimization and Control. Program. Also, I served there as a Huawei representative leading the research track related to self-driving (prediction task).

Overview of Self-Driving Vehicle Stack of Technologies

Fri, 23 Jul 2021 00:00:00 +0000

I was invited by the Sirius Educational Center to make a presentation about the fundamentals and challenges of Self-driving stack during the Summer school on Modern Methods for Information Theory, Optimization and Control. Program. Also, I served there as a Huawei representative leading the research track related to self-driving (prediction task).

Certified Robustness in High Dimensions

Thu, 29 Apr 2021 00:00:00 +0000

I was invited by Maxim Panov to make a presentation about the certified robustness and related concepts during the scientific seminars.

CNN Adversarial Robustness in the Real World

Thu, 15 Apr 2021 00:00:00 +0000

I was invited to make a presentation at Lobachevsky University.

CNN Robustness research: Application to face detectors and face ID systems

Thu, 04 Feb 2021 00:00:00 +0000

I was invited to make a presentation at OpenTalks.AI about the advances in adversarial robustness for face detection and identification: SpeakerDeck presentation.

CNN Robustness research. Application to face detectors and face ID systems

Tue, 01 Dec 2020 00:00:00 +0000

I made the presentation about the adversarial robustness theory and our publications in this area during the Huwei Workshop.

Anomaly detection for AI

Sun, 01 Nov 2020 00:00:00 +0000

I made the presentation about the holistic approach for the robustness direction and its application to anomaly detection during the 2-days Huwei Summit and Workshop (Program).

Adversarial and Certified Robustness

Sun, 20 Sep 2020 00:00:00 +0000

I made the presentation during Huawei Industrial Track on the DataFest-2020 by Open Data Science.

Application of Adversarial Machine Learning to Analyze the NN Robustness in the Real World

Fri, 26 Jun 2020 00:00:00 +0000

A presentation during Spice IT Computer Vision Online Meetup.

Adversarial Machine Learning in Real World

Fri, 29 May 2020 00:00:00 +0000

I was invited by Chebyshev Lab to make a presentation about the analysis of adversarial ML for real-world applications.

Certified Robustness for modern NN

Sun, 24 May 2020 00:00:00 +0000

I was invited by HSE and SkolTech Universities to make a presentation during the Statistical Learning Olympiad.

Adversarial Machine Learning

Sat, 12 Oct 2019 00:00:00 +0000

I was invited by 2019 Science Festival to make a presentation about the analysis of adversarial ML for real-world applications.

Metric Learning for facial descriptors

Thu, 04 Jul 2019 00:00:00 +0000

I was invited by MIPT, RAAI, Summer School on Artificial Intelligence to create a hackathon and make a corresponding presentation.

Deep Learning methods for Computer Vision (updated)

Tue, 16 Apr 2019 00:00:00 +0000

Deep Learning methods for Computer Vision

Fri, 23 Nov 2018 00:00:00 +0000

Neural Nets recent success and introduction to FaceID

Tue, 20 Mar 2018 00:00:00 +0000

Neural Nets recent success

Fri, 17 Mar 2017 00:00:00 +0000