Ajay Arunachalam

Ajay Arunachalam

I am Postdoctoral Researcher (Artificial Intelligence) at MRO Lab under Centre for Applied Autonomous Sensor Systems, Orebro University, Sweden. Prior to my position here, I was working as a Data Scientist at True Corporation, a Communications Conglomerate, working with Petabytes of data, building & deploying deep models at production. I truly believe that Opacity in AI systems is need of the hour, before we fully accept & leverage the potential of AI. With this in mind, I have always strived to democratize AI, and focus more towards building Explainable Models & specifically learning good representations. My interests include Applied Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Optimization, Big Data, Algorithmic trading, Natural Language Processing, Distributed Systems & Wireless Networks. From my experience working on several business problems, I fully acknowledge that finding good representations is the key in designing the system that can solve interesting & challenging real-world problems, that go beyond human-level intelligence, and ultimately explain complicated data for us that we don’t understand. In order to achieve this, I envision learning algorithms that can learn feature representations from both unlabelled and labelled data, be guided with and/or without human interaction, and that are on different levels of abstractions in order to bridge the gap between low-level data and high-level abstract concepts.


Dr. Ajay Arunachalam

AASS Research Centre
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T1227
Phone +46 (0)19 30 35 91


Journal Articles

[1] V. Ravi, M. Alazab, S. Srinivasan, A. Arunachalam and K. Soman. Adversarial Defense : DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning. IEEE transactions on engineering management, 70(1):249-266, 2023BibTeX | DiVA  ]
[2] V. Sureshkumar, S. Balasubramaniam, V. Ravi and A. Arunachalam. A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine. Expert systems (Print), 39(1), 2022BibTeX | DiVA  ]
[3] A. Arunachalam and H. Andreasson. MSI-RPi : Affordable, Portable, and Modular Multispectral Imaging Prototype Suited to Operate in UV, Visible and Mid-Infrared Regions. Journal of Mobile Multimedia, 18(3):723-742, 2022BibTeX | DiVA  ]
[4] A. P. F. Herdenstam, P. Kurtser, J. Swahn and A. Arunachalam. Nature versus machine : A pilot study using a semi-trained culinary panel to perform sensory evaluation of robot-cultivated basil affected by mechanically induced stress. International Journal of Gastronomy and Food Science, 29, 2022BibTeX | DiVA  ]
[5] A. Arunachalam and H. Andreasson. RaspberryPi‐Arduino (RPA) powered smart mirrored and reconfigurable IoT facility for plant science research. Internet Technology Letters, 5(1), 2022BibTeX | DiVA  | PDF ]
[6] A. Arunachalam, V. Ravi, M. Krichen, R. Alroobaea and J. S. Alqurni. Analytical Comparison of Resource Search Algorithms in Non-DHT Mobile Peer-to-Peer Networks. Computers, Materials and Continua (CMC), 68(1):983-1001, 2021BibTeX | DiVA  ]
[7] P. Kurtser, V. Castro Alves, A. Arunachalam, V. Sjöberg, U. Hanell, T. Hyötyläinen and H. Andreasson. Development of novel robotic platforms for mechanical stress induction, and their effects on plant morphology, elements, and metabolism. Scientific Reports, 11(1), 2021BibTeX | DiVA  ]
[8] S. Paul, A. Arunachalam, D. Khodadad, H. Andreasson and O. Rubanenko. Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator. International Journal of Automation and Computing, 18(4):568-580, 2021BibTeX | DiVA  | PDF ]
[9] A. Arunachalam, V. Ravi, M. Krichen, R. Alroobaea and S. Rubaiee. Mathematical Model Validation of Search Protocols in MP2P Networks. Computers, Materials and Continua (CMC), 68(2):1807-1829, 2021BibTeX | DiVA  | PDF ]
[10] A. Arunachalam and H. Andreasson. Real-time plant phenomics under robotic farming setup : A vision-based platform for complex plant phenotyping tasks. Computers & electrical engineering, 92, 2021BibTeX | DiVA  ]
[11] A. Arunachalam, V. Ravi, V. Acharya and T. D. Pham. Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform : COVID-19 Autoannotation Use Case. IEEE transactions on engineering management 2021BibTeX | DiVA  ]
[12] A. Arunachalam. Rock, Paper, Scissors Game Based Model for Content Discovery in P2P MANETs. Wireless personal communications 2020BibTeX | DiVA  ]
[13] A. Arunachalam and O. Sornil. A broadcast based random query gossip algorithm for resource search in non-DHT mobile Peer-to-Peer networks. Diànnǎo xuékān (Journal of Computers), 28(1):209-223, 2017BibTeX | DiVA  ]
[14] A. Arunachalam and O. Sornil. Minimizing Redundant Messages and Improving Search Efficiency under Highly Dynamic Mobile P2P Network. Journal of Engineering Science and Technology Review, 9(1):23-35, 2016BibTeX | DiVA  ]
[15] A. Arunachalam and O. Sornil. Reducing Routing Overhead in random walk protocol under MP2P Network. International Journal of Electrical and Computer Engineering, 6(6):3121-3130, 2016BibTeX | DiVA  ]
[16] A. Arunachalam and O. Sornil. An Analysis of the Overhead and Energy Consumption in Flooding, Random Walk and Gossip Based Resource Discovery Protocols in MP2P Networks. 2015 Fifth International Conference on Advanced Computing & Communication Technologies, pages 292-297, 2015BibTeX | DiVA  ]
[17] A. Arunachalam and O. Sornil. Issues of Implementing Random Walk and Gossip Based Resource Discovery Protocols in P2P MANETs \& Suggestions for Improvement. Procedia Computer Science, 57:509-518, 2015BibTeX | DiVA  | PDF ]

Book Chapters

[1] S. Srinivasan, R. Vinayakumar, A. Arunachalam and M. Alazab. DURLD : Malicious URL Detection Using Deep Learning-Based Character Level Representations. In Malware Analysis Using Artificial Intelligence and Deep Learning, pages 535-554, 2020BibTeX | DiVA  ]

Refereed Conference and Workshop Articles

[1] A. P. F. Herdenstam, P. Kurtser, J. Swahn, A. Arunachalam and K. M. Edberg. Nature versus machine : Sensory evaluation of robot-cultivated basil affected by mechanically induced stress. 2022BibTeX | DiVA  | PDF ]
[2] S. Paul, A. Arunachalam, D. Khodadad and O. Rubanenko. Fuzzy Tuned PID Controller for Vibration Control of Agricultural Manipulator. In HORA 2020 - 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications : Proceedings, pages 166-170, 2020BibTeX | DiVA  ]

Find the complete BibTeX record here.