The Concept of the Faculty Development Series (FDS) is to hold Lecture Series to enlighten the BSBI and Associated Academic Faculties on different aspects relating to academia and self development.
Dr. Zahid Irshad Younas is an expert academic with experience of more than ten years in teaching and research. Previously, he has served as an Assistant Professor at the Department of Finance Investment (NUST Business School, Islamabad) from 2017 to 2022. He has also served as a lecturer in Accounting and Finance at the Department of Economics GC University, Lahore from 2008 to 2014. He obtained his PhD in Finance from Kassel Universität, Germany. He has published several research papers in well-reputed and indexed journals. He is also a member of the reviewers’ board at the Journal of Global Responsibility launched by Leeds Business School, UK.
Host: Dr Mariusz Dramski
Guest Speaker: Monika Klien
Design Thinking as a Research Method
We invite you to join us for a thought-provoking Faculty Development Series that explores the use of Design Thinking in Research. Anyone interested in acquiring knowledge about state-of-the-art research techniques that can generate more valuable and significant solutions is welcome to attend this series, including researchers, educators, and tutors.
Our expert speaker, Dr Monika Klein, Dean of Faculty of Creative Industries will guide participants through the fundamentals of Design Thinking. Attendees will learn how to approach research problems from a human-centric perspective, with a focus on experimentation, iteration, and empathy.
Through interactive presentations, case studies, and hands-on activities, this series will equip participants with the skills and knowledge needed to apply Design Thinking to their own research projects.
The event will be hosted by Dr Mariusz Dramski, Dean of Faculty of Computer Science and Informatics.
Mark your calendars for:
Date: May 5th, 2023,
Time: 01:00 - 02:00
Location: Campus Auditorium 402/405
We hope that you can join us for this exciting event.
Guest Speaker: Dr Mariusz Dramski
Sea transport is an essential part of global trade, connecting nations and facilitating the movement of goods and people across the world. Accurate statistics on sea transport are vital for informed decision-making and planning in the industry. However, collecting and analysing this data can be a complex and time-consuming process.
One approach to overcome these challenges is to use an intelligent system that can generate statistics automatically. Automatic Identification System (AIS) is one such system that can provide real-time information on vessel movements, including location, speed, and direction. AIS is mandatory for all large vessels and is used to improve maritime safety and avoid collisions at sea.
The intelligent system we propose leverages AIS data to create statistics on sea transport automatically. The system uses machine learning algorithms to analyse AIS data and identify patterns in vessel movements, such as routes, ports of call, and vessel types. These patterns are then used to generate statistics on sea transport, including the number of vessels in a given area, the most frequent routes taken by vessels, and the busiest ports.
One of the advantages of using an intelligent system based on AIS is its ability to generate real-time statistics. As AIS data is updated every few seconds, the system can provide up-to-date information on vessel movements, which is particularly useful for tracking vessels during emergencies, such as natural disasters or search and rescue operations.
Another benefit of the proposed system is its ability to automate the data collection and analysis process, reducing the time and resources needed to generate statistics. This frees up resources to focus on more strategic and high-level tasks, such as policy development and planning.
However, there are some limitations to the system. For example, AIS data is limited to vessels over a certain size, and smaller vessels may not be included. Additionally, the system relies on accurate and up-to-date AIS data, which may not always be available.
In conclusion, an intelligent system based on AIS data can provide valuable insights into sea transport and help support informed decision-making and planning in the industry. With the increasing importance of sea transport in global trade, the use of intelligent systems to generate statistics will become essential.
Guest Speaker: Dr Vivek Arunachalam
Dr Vivek Arunachalam has been a faculty member of several business and diplomatic schools in Switzerland and in India. He is also the Hon. Economic Advisor with the World Trade Centre, Navi Mumbai, India and is associated with several other chambers of commerce in India. Prior to joining BSBI, he worked in India as an Assistant Professor with a leading University’s Business School for around eight years. His area of specialisations at BSBI are global business, International Marketing, Strategy and Innovations. He is also a supervisor for Doctoral Students of Management. His interests are Management Consulting for Bilateral Trade and Investments for India and into Political Consulting.
Guest Speaker: Dr Farshad Badie
How to Model a Constructivist Concept-based Teaching Strategy
Dr. Farshad Badie is a logician and information/knowledge scientist. He is a lecturer at the Faculty of Computer Science & Informatics in BSBI. He is also the head of BSBI’s postdoctoral research centre. He has a strong background in (i) computing science, (ii) logic and decision science, (iii) cognitive-learning science, and (iv) philosophy of artificial intelligence and of information science. During the last 8 years, he has had a special focus on human-human-machine interaction/communication systems. Dr. Badie has 10 years of research and teaching experience, 7 years in editorial and review activities (for more than 140 international journals, conferences, and workshops), 6 years in administrating scientific communities, and 6 years in IT management and business intelligence analysis.
Guest Speaker: Anuj Batta PhDc
Anuj Batta has close to two decades of work experience in corporate industry in leadership and consulting roles. He has worked in data-based decision making, data science, artificial intelligence, machine learning, and strategy-based roles. He has headed the analytics business units for couple of organizations.
Prof. Anuj Batta has spent his time in the corporate world working in multiple geographies and business domains. The companies that he has worked for in the past are Adobe, Sapient, and HCL Technologies. He has also delivered multiple management development programmes in companies like Accenture, Jet Privilege, Steria and many more.
Prof Batta holds double post-graduation and is an IIM-Calcutta alumnus. With his current PhD in data science from IIT Delhi, he has published papers in reputed international journals. He has also co-authored a book in HR analytics. As his mission in this area, he continues to work towards bridging the gap between academia and corporate industry.