Profile image of Sunil Aryal

Dr Sunil Aryal

STAFF PROFILE

Position

Senior Lecturer

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Qualifications

Doctor of Philosophy, Monash University, 2017
Master of Information Technology, Monash University, 2013

Biography

Dr Sunil Aryal is a Senior Lecturer in Data Science the School of Information Technology at Deakin University Australia. Prior to joining Deakin University in 2019, he was a lecturer at Federation University and a sessional lecturer at various institutions in Australia. Before moving to academia, He worked in industry for several years as a Software Developer and Data Engineer. He received his PhD and Master by Research degrees from Monash University Australia. His research interests are in the areas of Artificial Intelligence (AI), Machine Learning (ML) and Data Mining (DM). He is particularly interested in the application of AI/ML/DM models to solve real-world problems in applications such as Defence, National Intelligence, Engineering, Manufacturing, Healthcare and Education. Currently, he is working on making ML/DM algorithms robust and flexible to handle heterogenous, noisy and uncertain data in real-world problems. He is working on anomaly detection, clustering, kernel/similarity-based learning, ensemble methods, learning from heterogenous, noisy and limited/small data, reinforcement learning, natural language processing, computer vision, and remote sensing. He co-leads the Machine Learning for Decision Support (MLDS) Research Group at the Deakin University School of Information Technology at the Geelong Waurn Ponds campus. He has published over 49 papers in top-tier international venues in AI, ML and DM. He has secured over AUD 4 million in external research funding. His research is supported by US and Australia Defence Agencies, Australian Office of National Intelligence, Worksafe Victoria, Victorian State Department of Education and Training, and Technology Innovation Institute UAE.

Read more on Sunil's profile

Research interests

Data Mining and Machine Learning — Practical and Robust Data Mining, Similarity Measures, Classification, Clustering, Anomaly Detection, Ensemble-based and Random Methods, Learning from small subsamples of data, Learning from mixed (numeric and categorical) data, Explainable AI, Autonomous Systems, and Health Informatics

Affiliations

  • Australian Computer Society [2008 - ]
  • IEEE Computer Society [2014 - ]
  • IEEE Young Professionals [2014 - ]

Teaching interests

Data Mining, Machine Learning, Artificial Intelligence, Database, Programming, Professional Practice, Placement and Internship, Capstone Projects 

Units taught

SIT103 Data and Information Management

SIT223 Professional Practice in IT

SIT306 IT Internship

SIT740 Research & Development in IT

SIT790 Major Thesis

SIT750 Mastery of IT

SIT720 Machine Learning

SIT772 Database and Information Retrieval

Knowledge areas

Data Mining, Machine Learning, Artificial Intelligence and Health Informatics

Professional activities

  • Fellow of the UK Higher Edication Academy (FHEA)
  • Topic Editor for the MDPI Applied System Innovation (ASI) journal [2021 - ]
  • PC Member - Conferences such as IJCAI, AAAI, ECML/PKDD, PAKDD, IJCNN and ICONIP, etc.
  • Journal Reviewer - ACM Transactions on Knowledge Discovery from Data (TKDD), Journal of Artificial Intelligence Research (JAIR), IEEE Intelligent Systems

Research groups

Machine Learning for Decision Support (MLDS) Resaerch Group under the Machine Intelligence Lab and Centre for Data to Learning at Deakin School of IT. 

Awards

  • Deakin School of IT Research Award for Industry Engagement  [2022]
  • Deakin Faculty of Science, Enginering and Built Environment Teaching and Learning Award [2022]
  • Deakin School of IT Research Award for Excellence in Early Career Research Performance [2021]
  • Deakin School of IT Teaching and Learning Award for Excellence in unit leadership and supporting student learning [2021]
  • Four student travel awards during PhD candidaure [2013-2016]
  • Australian Postgraduate Award (APA) for PhD at Monash University [2013]
  • Research student stipend for MIT (Research) at Monash University [2011]
  • Research trainee scholarship by Katholieke University of Leuven, Belgium [2009]
  • Dean’s award for outstanding academic achievement by University of Southern Queensland [2007]

Publications

Filter by

2024

Omnidirectional Video Super-Resolution Using Deep Learning

A Agrahari Baniya, T Lee, P Eklund, S Aryal

(2024), Vol. 26, pp. 540-554, IEEE Transactions on Multimedia, C1

journal article

Shine: A deep learning-based accessible parking management system

D Neupane, A Bhattarai, S Aryal, M Bouadjenek, U Seok, J Seok

(2024), Vol. 238, pp. 1-14, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture

M Talukder, M Layek, M Kazi, M Uddin, S Aryal

(2024), Vol. 168, pp. 107789-107789, Computers in Biology and Medicine, United States, C1

journal article

Elastic step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks

A Ly, R Dazeley, P Vamplew, F Cruz, S Aryal

(2024), Vol. 576, pp. 1-13, Neurocomputing, Amsterdam, The Netherlands, C1

journal article

Priority based energy and load aware routing algorithms for SDN enabled data center network

M Pathan, M Muntaha, S Sharmin, S Saha, M Uddin, F Nur, S Aryal

(2024), Vol. 240, pp. 110166-110166, Computer Networks, C1

journal article

ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application

R Halder, M Uddin, M Uddin, S Aryal, S Saha, R Hossen, S Ahmed, M Rony, M Akter

(2024), Vol. 15, pp. 1-16, Journal of Pathology Informatics, Amsterdam, The Netherlands, C1

journal article

Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models

A Agrahari Baniya, T Lee, P Eklund, S Aryal

(2024), Vol. 5, SN Computer Science, C1

journal article

MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs

M Talukder, S Sharmin, A Uddin, M Islam, S Aryal

(2024), pp. 1-20, International Journal of Information Security, Berlin, Germany, C1

journal article

Detection of Anomalies and Explanation in Cybersecurity

D Samariya, J Ma, S Aryal, X Zhao

(2024), Vol. 1967, pp. 414-426, ICONIP 2023 : Proceedings of the 30th International Conference on Neural Information Processing, Changsha, China, E1

conference
2023

Overcoming weaknesses of density peak clustering using a data-dependent similarity measure

Z Rasool, S Aryal, M Bouadjenek, R Dazeley

(2023), Vol. 137, pp. 109287-109287, Pattern Recognition, C1

journal article

A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4-Methylcytosine Using Deep Learning Approach

R Halder, M Uddin, M Uddin, S Aryal, M Islam, F Hossain, N Jahan, A Khraisat, A Alazab

(2023), Vol. 14, pp. 582-582, Genes, Switzerland, C1

journal article

Detection and explanation of anomalies in healthcare data

Durgesh Samariya, Jiangang Ma, Sunil Aryal, Xiaohui Zhao

(2023), Vol. 11, pp. 1-23, Health Information Science and Systems, Berlin, Germany, C1

journal article

A Novel Approach Utilizing Machine Learning for the Early Diagnosis of Alzheimer's Disease

Khandaker Uddin, Mir Alam, Jannat-E-Anawar, Md Uddin, Sunil Aryal

(2023), pp. 1-17, Biomedical Materials and Devices, Berlin, Germany, C1

journal article

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

M Talukder, M Islam, M Uddin, A Akhter, M Pramanik, S Aryal, M Almoyad, K Hasan, M Moni

(2023), Vol. 230, pp. 120534-120534, Expert Systems with Applications, C1

journal article

Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model

A Agrahari Baniya, T Lee, P Eklund, S Aryal, A Robles-Kelly

(2023), Vol. 546, Neurocomputing, C1

journal article

Machine Learning Based Diabetes Detection Model for False Negative Reduction

Md Uddin, Md Islam, Md Talukder, Md Hossain, Arnisha Akhter, Sunil Aryal, Maisha Muntaha

(2023), pp. 1-17, Biomedical Materials and Devices, Berlin, Germany, C1

journal article

A robust and clinically applicable deep learning model for early detection of Alzheimer's

M Rana, M Islam, M Talukder, M Uddin, S Aryal, N Alotaibi, S Alyami, K Hasan, M Moni

(2023), IET Image Processing, C1

journal article

Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data

Rabea Khatun, Maksuda Akter, Md Islam, Md Uddin, Md Talukder, Joarder Kamruzzaman, A Azad, Bikash Paul, Muhammad Almoyad, Sunil Aryal, Mohammad Moni

(2023), Vol. 14, pp. 1-24, Genes, Basel, Switzerland, C1

journal article

An ensemble learning approach for anomaly detection in credit card data with imbalanced and overlapped classes

M Islam, M Uddin, S Aryal, G Stea

(2023), Vol. 78, Journal of Information Security and Applications, C1

journal article

An ensemble machine learning based bank loan approval predictions system with a smart application

N Uddin, M Uddin Ahamed, M Uddin, M Islam, M Talukder, S Aryal

(2023), Vol. 4, pp. 327-339, International Journal of Cognitive Computing in Engineering, C1

journal article

Smart Crop Cultivation System Using Automated Agriculture Monitoring Environment in the Context of Bangladesh Agriculture

M Rahman, J Chakma, A Momin, S Islam, M Uddin, M Islam, S Aryal

(2023), Vol. 23, pp. 8472-8472, Sensors (Basel, Switzerland), Switzerland, C1

journal article

4mC-CGRU: Identification of N4-Methylcytosine (4mC) sites using convolution gated recurrent unit in Rosaceae genome

Abida Sultana, Sadia Mitu, Md Pathan, Mohammed Uddin, Md Uddin, Sunil Aryal

(2023), Vol. 107, pp. 1-12, Computational Biology and Chemistry, Amsterdam, The Netherlands, C1

journal article

An overview of Eulerian video motion magnification methods

A Ahmed, M Abdelrazek, S Aryal, T Nguyen

(2023), Vol. 117, pp. 145-163, Computers and Graphics (Pergamon), C1

journal article

Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency

A Ly, R Dazeley, P Vamplew, F Cruz, S Aryal

(2023), Vol. 2023-June, pp. 1-6, IJCNN 2023 : Proceedings of the International Joint Conference on Neural Networks, Gold Coast, Queensland, E1

conference

Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification

Vinayaka Malgi, Sunil Aryal, Zafaryab Rasool, David Tay

(2023), Vol. LNAI,volume 13935, pp. 171-182, PAKDD 2023: Advances in Knowledge Discovery and Data Mining, Osaka, Japan, E1

conference
2022

Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest

X Song, S Aryal, K Ting, Z Liu, B He

(2022), Vol. 60, IEEE Transactions on Geoscience and Remote Sensing, C1

journal article

NDVI Threshold-Based Urban Green Space Mapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria, Australia

Jagannath Aryal, Chiranjibi Sitaula, Sunil Aryal

(2022), Vol. 11, pp. 1-21, Land, Basel, Switzerland, C1

journal article

Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence

Thanh Nguyen, Mohamed Abdelrazek, Dung Nguyen, Sunil Aryal, Duc Nguyen, Sandeep Reddy, Quoc Nguyen, Amin Khatami, Thanh Nguyen, Edbert Hsu, Samuel Yang

(2022), Vol. 8, pp. 1-12, Machine Learning with Applications, Amsterdam, The Netherlands, C1

journal article

A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?

K Santosh, Nicholas Rasmussen, Muntasir Mamun, Sunil Aryal

(2022), Vol. 8, pp. 1-20, PeerJ Computer Science, London, Eng., C1

journal article

STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models

A Agrahari Baniya, T Lee, P Eklund, S Aryal

(2022), SIGMAP 2022 : Proceedings of the Signal Processing and Multimedia Applications conference 2022, Lisbon, Portugal, E1

conference

sGrid++: Revising Simple Grid Based Density Estimator for Mining Outlying Aspect

D Samariya, J Ma, S Aryal

(2022), Vol. 13724, pp. 194-208, WISE 2022 : Proceedings of the Web Information Systems Engineering 2022 international conference, Biarritz, France, E1

conference
2021

usfAD: a robust anomaly detector based on unsupervised stochastic forest

S Aryal, K Santosh, R Dazeley

(2021), Vol. 12, pp. 1137-1150, International Journal of Machine Learning and Cybernetics, C1

journal article

Vector representation based on a supervised codebook for Nepali documents classification

C Sitaula, A Basnet, S Aryal

(2021), Vol. 7, pp. 1-18, PeerJ Computer Science, United States, C1

journal article

Levels of explainable artificial intelligence for human-aligned conversational explanations

R Dazeley, P Vamplew, C Foale, C Young, S Aryal, F Cruz

(2021), Vol. 299, Artificial Intelligence, C1

journal article

Scene image representation by foreground, background and hybrid features

C Sitaula, Y Xiang, S Aryal, X Lu

(2021), Vol. 182, Expert Systems with Applications, C1

journal article

New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis

C Sitaula, S Aryal

(2021), Vol. 9, Health Information Science and Systems, England, C1

journal article

Content and context features for scene image representation

C Sitaula, S Aryal, Y Xiang, A Basnet, X Lu

(2021), Vol. 232, Knowledge-Based Systems, C1

journal article

Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection

C Sitaula, T Shahi, S Aryal, F Marzbanrad

(2021), Vol. 11, Scientific Reports, England, C1

journal article

Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data

Sunil Aryal, Jonathan Wells

(2021), Vol. 12975, pp. 687-702, ECML PKDD 2021 : Machine Learning and Knowledge Discovery in Databases. Research Track, Bilbao, Spain, E1

conference

SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms

Sunil Aryal, Arbind Agrahari Baniya, Muhammad Razzak, K Santosh

(2021), pp. 1-7, IJCNN 2021 : Proceedings of the International Joint Conference on Neural Networks, Shenzhen, China, E1

conference
2020

A comparative study of data-dependent approaches without learning in measuring similarities of data objects

Sunil Aryal, Kai Ting, Takashi Washio, Gholamreza Haffari

(2020), Vol. 34, pp. 124-162, Data mining and knowledge discovery, Cham, Switzerland, C1

journal article

Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning

Jonathan Wells, Sunil Aryal, Kai Ting

(2020), Vol. 62, pp. 3203-3216, Knowledge and Information Systems, Berlin, Germany, C1

journal article

Fusion of whole and part features for the classification of histopathological image of breast tissue

C Sitaula, S Aryal

(2020), Vol. 8, Health Information Science and Systems, England, C1

journal article

HDF: Hybrid deep features for scene image representation

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference

A New Effective and Efficient Measure for Outlying Aspect Mining

Durgesh Samariya, Sunil Aryal, Kai Ting, Jiangang Ma

(2020), Vol. 12343, pp. 463-474, WISE 2020 : Proceedings of the 2020 International Conference on Web Information Systems Engineering, Amsterdam, The Netherlands, E1

conference
2019

Indoor image representation by high-level semantic features

C Sitaula, Y Xiang, Y Zhang, X Lu, S Aryal

(2019), Vol. 7, pp. 84967-84979, IEEE access, Piscataway, N.J., C1

journal article

Unsupervised deep features for privacy image classification

C Sitaula, Y Xiang, S Aryal, X Lu

(2019), Vol. 11854, pp. 404-415, Image and video technology : 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18-22, 2019, Proceedings, Sydney, N.S.W., E1

conference

Tag-based semantic features for scene image classification

C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu

(2019), Vol. 11955, pp. 90-102, ICONIP 2019 : Proceedings of the 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society 2019, Sydney, N.S.W., E1

conference

A novel data pre-processing technique robust to units and scales of measurement

Arbind Baniya, Sunil Aryal, K Santosh

(2019), Vol. 16, pp. 1-8, Special Issue of the Australian Journal of Intelligent Information Processing Systems: 26th International Conference on Neural Information Processing, Sydney, New South Wales, E1

conference
2018

Modeling neurocognitive reaction time with gamma distribution

Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein

(2018), pp. 1-10, ACSW '18: Proceedings of the Australasian Computer Science Week Multiconference, Brisbane, Qld., E1-1

conference

Anomaly detection technique robust to units and scales of measurement

Sunil Aryal

(2018), Vol. 10937, pp. 589-601, PAKDD 2018: Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Melbourne, Victoria, E1-1

conference

Relevance of frequency of heart-rate peaks as indicator of 'biological' stress level

Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein

(2018), Vol. 11307, pp. 598-609, ICONIP 2018: International Conference on Neural Information Processing, Siem Reap, Cambodia, E1-1

conference

Image clustering using a similarity measure incorporating human perception

H Shojanazeri, S Aryal, S Teng, D Zhang, G Lu

(2018), pp. 1-6, IVCNZ 2018 : International Conference on Image and Vision Computing New Zealand, Auckland, New Zealand, E1-1

conference

A novel perceptual dissimilarity measure for image retrieval

H Shojanazeri, D Zhang, S Teng, S Aryal, G Lu

(2018), pp. 1-6, IVCNZ 2018 : International Conference on Image and Vision Computing New Zealand, Auckland, New Zealand, E1-1

conference
2017

Application of e-government principles in anti-corruption framework

Arjun Neupane, Jeffrey Soar, Kishor Vaidya, Sunil Aryal

(2017), pp. 56-74, Digital Governance and E-Government Principles Applied to Public Procurement, Hershey, Pa., B1-1

book chapter

Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors

K Ting, T Washio, J Wells, S Aryal

(2017), Vol. 106, pp. 55-91, Machine Learning, C1-1

journal article

Data-dependent dissimilarity measure: an effective alternative to geometric distance measures

S Aryal, K Ting, T Washio, G Haffari

(2017), Vol. 53, pp. 479-506, Knowledge and Information Systems, C1-1

journal article
2016

A generic ensemble approach to estimate multidimensional likelihood in bayesian classifier learning

Sunil Aryal, Kai Ting

(2016), Vol. 32, pp. 458-479, Computational intelligence, Chichester, Eng., C1-1

journal article

Revisiting attribute independence assumption in probabilistic unsupervised anomaly detection

Sunil Aryal, Kai Ting, Gholamreza Haffari

(2016), Vol. 9650, pp. 73-86, PAISI 2016 : Proceedings of the 11th Pacific Asia Workshop on Intelligence and Security Informatics 2016, Auckland, N.Z., E1-1

conference
2015

The potential for ICT tools to promote public participation in fighting corruption

A Neupane, J Soar, K Vaidya, S Aryal

(2015), Vol. 4, pp. 2291-2307, Public affairs and administration: concepts, methodologies, tools, and applications, Hershey, Pa., B1-1

book chapter

Beyond tf-idf and cosine distance in documents dissimilarity measure

Sunil Aryal, Kai Ting, Gholamreza Haffari, Takashi Washio

(2015), Vol. 9460, pp. 400-406, AIRS 2015 : Information Retrieval Technology: Proceedings of the 11th Asia Information Retrieval Societies Conference, Brisbane, Queensland, E1-1

conference
2014

The potential for ICT tools to promote public participation in fighting corruption

Arjun Neupane, Jeffrey Soar, Kishor Vaidya, Sunil Aryal

(2014), pp. 175-191, Human Rights and the Impact of ICT in the Public Sphere: Participation, Democracy, and Political Autonomy, Hershey, Pa., B1-1

book chapter

Mp-dissimilarity: a data dependent dissimilarity measure

S Aryal, K Ting, G Haffari, T Washio

(2014), pp. 707-712, ICDM 2014 : Proceedings of the 14th IEEE International Conference on Data Mining 2014, Shenzhen, China, E1-1

conference

Improving iForest with relative mass

Sunil Aryal, Kai Ting, Jonathan Wells, Takashi Washio

(2014), Vol. 8444, pp. 510-521, PAKDD 2014 : Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan, E1-1

conference
2013

DEMass: a new density estimator for big data

Kai Ting, Takashi Washio, Jonathan Wells, Fei Liu, Sunil Aryal

(2013), Vol. 35, pp. 493-524, Knowledge and information systems, Berlin, Germany, C1-1

journal article

MassBayes: a new generative classifier with multi-dimensional likelihood estimation

Sunil Aryal, Kai Ting

(2013), Vol. 7818, pp. 136-148, PAKDD 2013 : Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining 2013, Gold Coast, Qld., E1-1

conference

Funded Projects at Deakin

Other Public Sector Funding

Ensemble Learning for Outlier Detection.

Dr Sunil Aryal

DSTO contract

  • 2021: $5,000
  • 2020: $15,000

Modeling Adversary Intent Using Multiobjective Reinforcement Learning.

Prof Richard Dazeley, Dr Sunil Aryal

DSTO Grant - Research - Defence Science & Technology Organisation

  • 2021: $53,728

A competency-aware multi-agent framework for human-machine teams in adversarial environments.

Prof Richard Dazeley, Dr Sunil Aryal, A/Prof Tim Wilkin

DSTO Grant - Research - Defence Science & Technology Organisation

  • 2022: $26,118
  • 2021: $125,124

Utilizing Extractive - Abstractive Summarization for Understanding the Narrative of Social Media Users from Multimodal Data.

Dr Imran Razzak, Dr Mohamed Reda Bouadjenek, Dr Sunil Aryal

The Office of National Intelligence

  • 2022: $5,000
  • 2021: $15,000

Application of Generic Actual Argument Model to represent complex decisions and generate narratives.

Prof Richard Dazeley, Dr Sunil Aryal, Dr Bahadorreza Ofoghi, Prof John Yearwood

Department of Defence

  • 2022: $30,000

Design and delivery of a Graduate Certificate of Secondary Digital Technologies.

A/Prof Julianne Lynch, Prof Andrew Cain, Dr Jo Raphael, Dr George Aranda, Dr Sunil Aryal, A/Prof Chathu Ranaweera, Dr Carly Sawatzki, A/Prof Matthew Thomas, Dr Guy Wood-Bradley, A/Prof Glenn Auld, Dr John Cripps Clark, Prof Linda Hobbs

DETVic Grant - Research - Department of Education and Training Victoria

  • 2024: $101,948
  • 2023: $529,906

Industry and Other Funding

Developing robust framework for practical data mining.

Dr Sunil Aryal

Asian Office of Aerospace Research and Development

  • 2022: $76,207
  • 2021: $70,214
  • 2020: $70,828

Machine Learning in Heterogeneous Data from Multiple Sources

Dr Sunil Aryal, Dr Mohamed Reda Bouadjenek

Air Force Office of Scientific Research United States of America

  • 2023: $228,919

Contributions to Edge and Multimodal Machine Learning.

Dr Mohamed Reda Bouadjenek, Dr Sunil Aryal, Dr Muna Al-Hawawreh

Technology Innovation Institute - Sole Proprietorship LLC

  • 2023: $66,697
  • 2022: $162,113

Empowering Agents with Human Feedback: Integrating Implicit and Explicit Signals in Deep Reinforcement Learning

Dr Bahareh Nakisa, Dr Naim Rastgoo, Prof Richard Dazeley, Dr Sunil Aryal

Asian Office of Aerospace Research and Development

  • 2023: $256,742

Intelligent Table Tennis Match Analysis: Automated Insights Extraction through Machine Learning and Computer Vision.

Dr Sunil Aryal, Dr Bahareh Nakisa, Prof Richard Dazeley

Table Tennis Australia Ltd

  • 2023: $20,000

SummerTech Live Program 2024

Dr Mohamed Reda Bouadjenek, Dr Sunil Aryal, Dr Michael Hobbs, Dr Anh Dinh, Dr Anuroop Gaddam, Dr Muna Al-Hawawreh, Dr Aaron Spence, Dr Imali Dias

Victorian Chamber of Commerce and Industry

  • 2024: $77,500
  • 2023: $27,500

Supervisions

Associate Supervisor
2024

Arbind Agrahari Baniya

Thesis entitled: Super-Resolution of Conventional and Emerging Videos Using Deep Learning

Doctor of Philosophy (Information Technology), School of Information Technology

2021

Chiranjibi Sitaula

Thesis entitled: Developing New Image Features for Scene Image Classification

Doctor of Philosophy (Information Technology), School of Information Technology