Category: News

We are pleased to share that our students Naman Sharma, Sneha Shrestha, Naresh Bahadur Bohara, and Sidharth Bhatt were recently awarded certificates of commendation last month. These awards recognise their participation as part of the team representing AIH in the 2023 Global Management Challenge competition.

This is a competitive event centred around a Management Simulation, where teams operate virtual companies with the aim of achieving the highest Investment Performance

We extend sincere congratulations to these students for their dedication and commitment to the competition. Their achievements reflect their hard work and dedication, and we are proud to have them represent our institution.

In a cheering initiative to welcome students back to campus, the Student Representative Council (SRC) and Student Services have teamed up to offer a special treat: muffins!

This collaboration aimed to extend a warm welcome and foster a sense of community as students resumed their on-campus studies. A variety of delicious muffins was distributed to brighten up the day.

The gesture was met with great appreciation from students, who enjoyed the thoughtful touch as they settled back into campus life. A big thank you goes out to everyone who helped organise this wonderful event!

On March 8th, 2024, AIH students had the privilege of attending an enlightening presentation by Kim Hwang, FCPA, Advisor International Mobility from CPA Australia. Kim’s exposition explained the diverse range of opportunities awaiting students upon graduation. Through her insightful presentation Kim showcased the potential post-study career options and pathway to earning the coveted CPA membership.

AIH’s Bachelor of Accounting is accredited with CPA Australia, Chartered Accountants of Australia and New Zealand (CAANZ) the top 2 professional industry bodies in Australia and also recognised by the Association of Chartered Certified Accountants (ACCA) and the Institute of Public Accountants (IPA).

Overall, Kim’s presentation left a significant impact on the audience, equipping them with valuable knowledge and motivation to pursue their career goals. Her guidance has prepared students to face the challenges of the post-graduation world with clarity and determination.

AIH’s Master of Business Information System (MBIS) team of students who participated in the MBIS5015 Capstone Project unit in 2022 had the very first Student Conference Publication with the paper “Skin Disease Detection as Unsupervised-Classification with Autoencoder and Experience-Based Augmented Intelligence (AI),” Kushal Pokhrel, Suman Giri, Sudip Karki, and Cesar Sanin.
Congratulations to all the authors for this remarkable inaugural achievement.
Here is the abstract for those who’d like to know more.

Abstract

In this paper, we propose an Artificial Neural Network using an auto-encoder trained with fewer images but increases accuracy based on experience Augmented Intelligence. Most neural network systems use a large number of training sets to achieve a well-performing model and spend great efforts on pre-processing and training times to create a static model. In our case, we propose a system that uses just 4% images per class training set compared to most models and learns with each iteration of being used, interacting with the user, and acquiring experience to increase the accuracy. The average accuracy rate is increased at a 1.33% rate per every 20 user experiences. The proposed model offers advantages in creating dynamic experience-based augmented intelligence models.

AIH Senior Lecturer, Dr. Md Rafiqul Islam and his co-authors have been awarded the Best Paper Award at the 27th International Conference on Information Visualisation (IV 2023), hosted by Tampere University, Finland for their research paper “SIDVis: Designing Visual Interactive System for Analyzing Suicide Ideation Detection”.

Congratulations Rafiqul on such a wonderful achievement!

Here is the abstract for those who’d like to know more –

Abstract:

Suicide is a critical global issue that demands a comprehensive examination of factors such as mental illness, substance abuse, financial stress, and trauma. Effectively identifying individuals at risk is vital for intervention and prevention efforts. However, distinguishing suicidal ideation (SID) from non-suicidal language poses challenges. Existing research has addressed this issue, but limited attention has been given to visually interpretable and interactive systems tailored for SID.

This study contributes to responsible AI by leveraging deep learning and machine learning techniques to enhance SID detection, enabling proactive interventions and support. In this paper, we introduce SIDVis, an interactive visualisation system that improves performance and interpretability at the same time.

The rigorous evaluation demonstrates that SIDVis not only outperforms existing methods in terms of accuracy but also provides an explanation for the responsible use of the underlying AI approach, demonstrating its potential to improve SID detection and intervention strategies.