Contact Information

E-mail Address: [email protected]

Phone Number: (616) 331-3884

Research Interests

ML: Semi-supervised active learning, Generative AI, Large Language Models(LLMs)
Precision Farming
Natural Language Processing, Computer Vision
ML in Health Informatics and Cybersecurity

Professional Activities

In addition to delivering the following courses: Knowledge Discovery and Data Mining (KDD), Data Structures and Algorithms, and Machine Learning Lecturing, I have been engaged in several research projects primarily from the following areas: Precision Farming, Data Science, and Machine Learning. With the goal of translating these research into products, in collaboration with my colleagues and students, I have been developing some key infrastructures including associated data and machine learning pipelines.

Likewise earlier, this year, I attended a few conferences and webinars, and presented our research at the following venues: Symposium on Statistics and Data Science (SDSS), 2024 and International Conference on Data Mining and Software Engineering (DMSE), 2024. Over the last years, I have reviewed a number of articles for the following conferences and journals: NeuriPS, ICML, ICLR, International Conference on Machine Learning Techniques and NLP (MLNLP), and The Journal of Supercomputing.

Apart from attending GVSU College of Computing orientations and grant preparation workshops, I have also participated in several networking events, competitions, and training sessions as short-listed below:

Generative AI on AWS organized by Amazon (as a participant)
Webinar series: Data driven digital agriculture and innovation, organized by World Bank (as a participant)
MiCareerQuest at Grand Rapids, (as an AI product demonstrator)
DataFest@GVS competition (as a Data Science Coach)

Personal Interests

Traveling
Games: Badminton and Cricket
Gardening

Teaching Interests

Data Science
Knowledge Discovery and Data Mining
Big Data
Machine Learning
Deep Learning
Generative AI
Data Structures and Algorithms
Python programming

Recent Publications

• Status of Malaria in the African Continent - Data Mining Insights from Heterogeneous, but Interrelated Data Sources, Ken Muchira, Hemalatha Sabbineni, John Moses Bollarapu, and Kamrul Hasan, Computer Science & Information Technology (CSIT), 2024. (https://aircconline.com/csit/papers/vol14/csit141401.pdf)
• Integrated Predictive Maintenance Tool for Business Aircrafts Through Continuous Monitoring in Practice (abstract), Rai, A., Macdonald, E., Hasan, K., Liu, Q., Hresko, J., Mendoza, J., Rabusseau, G., Yacout, S., & Adulyasak, Annual Symposium, Airline Group of the International Federation of Operational Research Societies, AGIFORS, 2023.
• A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation, Kamrul Hasan, Chris Pal, ACM Transactions on Knowledge Discovery from Data (TKDD), 2019. (https://dl.acm.org/doi/abs/10.1145/3365672)
• Image Processing System for Deep Fashion Color Recognition, Kamrul Hasan, Marie-Claude Cote, U.S. provisional patent application no. US 62/478,211 · Filed Mar 29, 2017 (https://patents.google.com/patent/US11625677B2/en)

Research with Students

Precision Farming (Dancun Juma and Anto Lourdu Xavier R Arockia Selvarathina)
Deep Learning: Colonoscopy Video (Deekshit Atluri)
Data Mining: Prevalence of Alzheimers Disease in the USA (Eric Opoku and Michael Irungu)
Data Mining: Prevalence of Malaria in the African Continent (Ken Muchira, Hemalatha Sabbineni, John Moses Bollarapu) (project completed in 2024)
Data Mining: Dental Implant Failure (Sindhuri Tangella and Yasaswini Battula)

Grants and Fellowships

• CSCE Catalyst 2024-25 (with Prof. Samah Mansour): $4,834.80; Project: Enhancing IoT Security: Zero-Day Attack Detection through Semi-Supervised Learning.
• CSCE Dissemination Grant: 600$; Abstract Presentation: Deconvolution of NFL Injuries: What Does Historical Data Tell Us About?, at the Symposium on Statistics and Data Science (SDSS), 2024
• CSCE Virtual Conference Dissemination Grant: 250$; Paper Presentation: Status of Malaria in the African Continent - Data Mining Insights From Heterogeneous, but Interrelated Data Sources at the International Conference on Data Mining and Software Engineering (DMSE), 2024.

Updated Research Opportunities for Students

• Precision Farming: In this project, we are building certain supporting tools for farmers aiming to reduce their cost, improve throughput, and leave less (negative) environmental impacts.
• Distributed Semi Supervised Learning: Are you curious about the latest machine learning tools, techniques, and beyond? In this research, we are developing models that can learn both from labeled and unlabeled data and work in a distributed fashion pursuing a coordinated and common objective.
• Knowledge Discovery and Data Mining (also directed towards potential collaborators): If you are an expert in a certain field and require data science assistance, please give us a shout. During my tenure as a Data Scientist for multiple North American companies, I have contributed in building AI products for various domains: Natural Language Processing, Computer Vision, Supply Chain, Aviation, Cybersecurity, and Healthcare.