KeyNOTE Speakers

Prof. Dr.-Ing. Yaochu Jin, MAE, FIEEE 

Alexander von Humboldt Professor for Artificial Intelligence

Head, Nature Inspired Computing and Engineering Group

Faculty of Technology, Bielefeld University, Germany

Title: From Federated Learning to Federated Data-Driven Optimization

Abstract: Data-driven optimization problems are commonly seen in the real-world, ranging from engineering design to drug discovery, to automated architecture search of deep neural networks. This talk begins with a brief introduction to data-driven optimization together with some background of privacy-preserving machine learning. Then, we present two privacy-preserving data-driven optimization algorithms, highlighting how federated learning and other privacy-preserving techniques can be integrated with data-driven evolutionary optimization and Bayesian optimization when the data for optimization are distributed and subject to privacy constraints.

Short Bio-Yaochu Jin is an Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Ministry of Education and Research, with the Faculty of Technology, Bielefeld University, Germany. He is also a Surrey Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. He was a “Finland Distinguished Professor” of University of Jyväskylä, Finland, “Changjiang Distinguished Visiting Professor”, Northeastern University, China, and “Distinguished Visiting Scholar”, University of Technology Sydney, Australia. His main research interests include evolutionary optimization and learning, trustworthy machine learning and optimization, and evolutionary developmental AI.Prof Jin is presently the Editor-in-Chief of Complex & Intelligent Systems and President-Elect of the EEE Computational Intelligence Society. He is the recipient of the 2018 and 2021 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, and the 2015, 2017, and 2020 IEEE Computational Intelligence Magazine Outstanding Paper Award. He was named by the Web of Science as “a Highly Cited Researcher” consecutively from 2019 to 2022. He is a Member of Academia Europaea and Fellow of IEEE.

Prof. Keeley Crockett, SMIEEE, SFHEA

Professor in Computational Intelligence / Lead Machine Intelligence Theme

Chair  IEEE Taskforce on Ethical and Social Implications of Computational intelligence

Chair IEEE Computational Intelligence Society Diversity and Inclusion subcommitee

Department of Computing and Mathematics

Manchester Metropolitan University, UK

Title:  People Powered AI – Challenges and opportunities in responsible innovation

Abstract: – The ethical, social, and legal landscape of Artificial Intelligence (AI) driven systems is rapidly changing. Since the General Data Protection Regulation (2018), stakeholders developing AI systems have faced numerous challenges in the interpretation and implementation of Article 22, specifically concerning an individual’s rights in the context of automated decision making, the ability of AI to explain decisions, explanation of the logic involved, and to develop models using only “correct” data. This has and is causing major challenges due to the lack of legal guidance, case law and ethical principles about the use of AI in different contexts. In 2023, the passing of the EU AI Act and other Global “AI and Digital” legalisation promises to also be a big disrupter to all stakeholders working in the field as adopting a risk-based approach to AI becomes the norm. In this talk I will briefly overview ethical issues and relevant legalisation related to AI and data driven technologies that are arising due to the increasing use of AI and whether consumers /audiences/ citizens are aware to these developments. Responsible innovation and ethical tech are essential to build public trust, yet how can businesses and researchers in academia harness People Power through community ideation and involvement and people’s panels? In this talk I will give some examples of bridging the gap between businesses, academia, and people and how the use of ethical toolkits such as consequence scanning can help to build citizen confidence and have impact potential.

Short Bio- Keeley Crockett SMIEEE SFHEA is a Professor in Computational Intelligence at Manchester Metropolitan University (MMU). She gained a BSc Degree (Hons) in Computation from UMIST (1993), and a PhD in Fuzzy Decision Trees from MMU (1998). She currently leads the Machine Intelligence theme in the Centre for Advanced Computational Science. Her research interests include the ethics of Artificial Intelligence (AI), fuzzy systems, psychological profiling using AI, fuzzy natural language processing, semantic similarity, conversational agents, and intelligent tutoring systems. She led work on Place based practical Artificial Intelligence, facilitating a parliamentary inquiry with Policy Connect and the All-Party Parliamentary Group on Data Analytics leading to the inquiry report Our Place Our Data: Involving Local People in Data and AI-Based Recovery (1/4/2021). She is currently, the PI on the EPSRC Grant – “PEAs in Pods: Co-production of community based public engagement for data and AI research.”, CO-I on The Alan Turing Institute, People-powered AI: responsible research and innovation through community ideation and involvement Grant, academic co-lead in the ERDF £6m GM Artificial Intelligence Foundry and PI on two Innovate UK KTPs, She has also received STRENGTH IN PLACES POLICY funding to engage GM business on “SME Readiness for Adoption of Ethical Approaches to AI Development and Deployment”.She is the Chair of the IEEE CIS Technical Committee on Ethical, Legal, Social, Environmental andHuman Dimensions of Computational Intelligence, Chair of the IEEE Computational Intelligence Diversity and Inclusion subcommittee, and Co-chair of the IEEE Women in Engineering Educational Outreach. She is a Senior Fellow of the Higher Education Academy and an active UK STEM Ambassador. Keeley serves as an Associate Editor on the IEEE Trans. Emerging Topics in Computational Intelligence, IEEE Trans. Artificial intelligence, IEEE Trans on Fuzzy systems, and IEEE Computational Intelligence Magazine. She was the General Co-chair for IEEE SSCI 2021, the Co-Chair of the IEEE Symposium on the Ethical, Social and Legal Implications of Artificial Intelligence (IEEE ETHAI) – IEEE SSCI 2021, 2022 and will also be the Co-Chair in IEEE ETHAI 2022 in Singapore and a FUZZ-IEEE Technical Co-chair at IEEE FUZZ 2024. She has co-organized 16 special sessions, 4 workshops and authored over 130 peer reviewed publications and has co-authored 3 international textbooks in database systems. She has supervised 28 PhDs to completion and has externally examined 11 PhDs in the UK, Europe, India, and Azerbaijan.

Prof. Durgesh Mishra, SMIEEE

Director of Computer Science and Information Technology 

Symbiosis University of Applied Sciences, Indore, India

Chairman IEEE Computer Society, Madhya Pradesh Section.

Founder Director Microsoft Innovation Centre, SAIT-Lab, Indore

Title:  Machine Learning Made Easy: A Case Study on Computer Vision in AWS 

Abstract:  Today, Smartphones have quality high resolution cameras, and taking a photo or video and sharing it has never been easier, resulting in the incredible growth of modern social networks like Facebook and Instagram. YouTube might be the second largest search engine and hundreds of hours of video are uploaded every minute and billions of videos are watched every day. The internet is comprised of text and images. It is relatively straightforward to index and search text, but in order to index and search images, algorithms need to know what the images contain. To get the most out of image and video data, we need computers to “see” an image and understand the content. In this talk, we introduce Computer vision with a brief about some machine learning processes. Then, we will discuss “Amazon Rekognition” for images and video of AWS and the algorithms for searchable image and video libraries. We also discuss some cases of Image moderation and sentiment analysis.

Short Bio- Dr. Durgesh Kumar Mishra has received M.Tech. degree in Computer Science from DAVV, Indore in 1994 and a Ph.D. degree in Computer Engineering in 2008. Presently, he has been working as a Director and Professor SCSIT, Symbiosis University of Applied Sciences, Indore. He was the founder Director of Microsoft Innovation Centre at SAIT, Indore, India. He is associated with Namibia University of Science and Technology as the Program Advisory Committee for Doctor of Philosophy Computer Science (NQF level 10).  Ex-visiting faculty at IIT-Indore. He has 30 years of teaching and 15 years of research experience with a good number of citations with h-index and i-index. He has four patents granted and twelve published jointly with Ph.D. students and more than 100 papers in refereed journals and conferences in his research field. His Ph.D. is in Secure Multi-Party Computation for Preserving Privacy. He has organized a number of IEEE, ACM, and Springer conferences in the capacity of conference General Chair and editor of conference proceedings. He is a Sr Member of IEEE, ACM, and CSI and held many positions like Chairman, IEEE MP-Subsection (2011-2012), and Chairman IEEE Computer Society Bombay Chapter (2009-2010).  Chairman CSI Division IV Communication at National Level (2014-2018).  National Treasurer Computer Society of India (2019-2021). At Present he is the Chairman IEEE Madhya Pradesh Section and Chairman of ACM Indore Chapter. Dr. Mishra visited and delivered his invited talk in Taiwan, Bangladesh, Singapore, Indonesia, Sri Lanka, Nepal, the USA, UK, and France. He has authored two books on “Database Management Systems” and “Programming in C and C++”. He edited 12 international books of Springer publications in his domain of Computer Science. He has been a consultant to industries and government organizations like the sales tax and labor department of the government of Madhya Pradesh, India. He has been awarded the “Paper Presenter award at International Level” by the Computer Society of India. He visited MIT Boston and presented his presentation on Security and Privacy he has also Chaired a panel on “Digital Monozukuri” at “Norbert Winner in 21st century” at BOSTON. He became a Member of the Bureau of Indian Standards (BIS), Govt of India for the Information Security domain. Recently, Microsoft invited him for his felicitation and to deliver his Innovation at Xi’an China. He has the recipient of many awards from the largest professional society CSI. Recently VDGOOD Society India, Awarded him as International Scientist Award for Engineering, Science, and Medicine.