ICISDM2022 Invited Speakers

 

 

Prof. Anu Gokhale

Illinois State University, USA

Biography: Dr. Anu A. Gokhale is a Distinguished Professor and Coordinator of the Computer Systems Technology program at Illinois State University (ISU). She has completed thirty years as faculty and has received several College and University research, teaching and service awards. Gokhale was named Fulbright Distinguished Chair in STEM+C at the University of Pernambuco, Brazil, 2016-17; was a Faculty Fellow in Israel and Fulbright Specialist in Cybersecurity at Gujarat Technological University, India in summer 2017; and a Visiting Professor in College of Business at Shandong University in Jinan, China during spring 2017 where she focused on data analytics and e-commerce. Her achievements encompass extensively cited refereed publications; groundbreaking externally funded research supported by a continuous stream for 20 years of grants from state and federal agencies including the National Science Foundation; and elevation of the ISU student experience through excellence in teaching, mentorship, and the creation of opportunities for students to get involved in research. The current NSF funded project is in Computing Education for the 21st Century. Originally from India, she has a master’s in physics‒electronics from the College of William & Mary, and a doctorate from Iowa State University. Dr. Gokhale authored a second edition of her book Introduction to Telecommunications, which has an international edition in Chinese. She continues to be an invited keynote speaker at various conferences, latest ones include: 2020 International Conference on Information and Computer Technologies, San Jose, USA; 2019 International Conference on Computer Science and Artificial Intelligence, Beijing, China; 2018 International Conference on Frontiers of Educational Technologies, Moscow, Russia; 2017 International Conference on Knowledge Engineering and Applications, London, UK; 2016 International Conference on Communication and Information Systems, Bangkok, Thailand; and 2015 International Conference on Information Technology, Amman, Jordan. As an active volunteer in IEEE, she has served as R4 Educational Activities Chair, Women in Engineering Coordinator, Chair of International Electro/Information Technology 2010 Conference, and MGA representative to the Educational Activities Board. She was honored with the IEEE Third Millennium Medal and 2019 Region 4 Outstanding Professional Award. She consults for business and industry to increase productivity using data analytics and leveraging e-technologies. She has delivered multiple workshops focusing on inclusion & diversity as well as “STEM for All” public policy.

Title of Speech: Data Analytics and Business Intelligence

Abstract: Latest developments in data analytics combined with business intelligence have created unprecedented opportunities for enterprises to enhance their competitive advantage. The business sector is expected to continue increase spending on data mining and analytics geared to utilize big data for business intelligence purposes. There exists tremendous potential to glean key insights for competitive advantage from the vast data that is available today and new data that is being constantly generated. Algorithms used in analyzing big data vary significantly based on the problem of study and its goals and objectives. The talk will address the issues and processes associated with analyzing big data in business information systems, applicable algorithms to enhance functionality and predictive analytics, and discuss how data-driven decisions support product/service innovation.

Assoc. Prof. Devon Michael Simmonds

University of North Carolina Wilmington, USA

Biography: Dr. Devon M. Simmonds (simmondsd@uncw.edu) is an associate professor in the Department of Computer Science at University of North Carolina Wilmington (UNCW). Dr. Simmonds has served the academic community for over thirty years. He received his B.S. degree in computer science and management from University of the West Indies (Mona, Jamaica), his M.S. in computer science from McGill University in Montreal Canada, and his Ph.D. in computer science from Colorado State University. His research interests include software engineering, software architectures and design, and aspect-oriented software engineering. At UNCW, he has led the Software Lab – a facility designed to support the engineering of real software for real clients in communities within and beyond the borders of the university. Dr. Simmonds views his academic mission as that of facilitating the modeling and engineering of complex software systems through innovative teaching, creative and practical research, and relevant and visionary service.

Title of Speech: Towards a Design-Centric Software Engineering Curriculum

Abstract: In his now famous paper, “No Silver Bullet: Essence and Accidents of Software Engineering”, Frederick P. Brooks, Jr. singles out software design as a critical factor in the mastery of software complexity. To date, however, software design remains more of an art than a science and systematic algorithms for software design are conspicuously absent from the suite of available tools for software engineers. This is in stark contrast with traditional engineering disciplines which thrive on a foundation of systematic and repeatable design. Model-driven engineering is an attempt by computer scientists to elevate design in software development and to shift from a code-centric to a model-centric software lifecycle. To date, much of the anticipated benefits of MDE is yet to be realized. This keynote presentation postulates that to truly leverage the power of design, shift to a model-centric software lifecycle, and make software engineering a true engineering discipline, the development of systematic software design algorithms is necessary along with an easily accessible library of design cases that illustrate the relationships between desired software quality attributes and corresponding design artifacts. This keynote presentation advocates two specific objectives: elevating software design to the same level of importance as programming in undergraduate computer science education and the development of systematic, repeatable step-by-step software design algorithms.