Mini Lecture Presentations

Prepare slides for a 20 minutes mini-lecture
The first slide should include your name and email address
The last slide should be a homework question (homework are due 4 days after the mini-lecture by email to the presenting person):
Plan on 1 additional minute to explain the homework question and to allow discussion
After each talk there will be 1-minute transition to the next talk
By Tuesday 12pm on the week of your talk e-mail slides to hussain.otudi@temple.edu with cc to zoran.obradovic@temple.edu (subject line: Slides for mini-lecture number number bellow assigned to your talk
One weeks after your presentation return the graded homework question to students and e-mail completed excel file named presentation_score.xlsl to hussain.otudi@temple.edu with cc to zoran.obradovic@temple.edu (subject line: grade). The excel file download from the class web site.

1	Shengao Yi	Mining Spatial Data
2	Saiyun Dong	Time series mining
3	Jefferson Le	Data Stream Mining
4	Hardik Sharma	Transformers along with basics of deep learning
5	Eigen Colby	Data Mining in Transportation
6	Manan Patel	Autoencoders for Data Science
7	Amaka Ikemefuna	Anomaly detection

8	Abhudaya Shrivastava	Deep Reinforcement Learning
9	Malvin Prifti	Graph Neural Networks
10	Faezeh Rajabi Kouchi	Mining Social Networks
11	Waheed Zinnia	Mining Electronic Health Record
12	Ethan Bailey	Data Mining and Machine Learning Models for Predicting Drug Likeness and Their Disease or Organ Category
13	Charlie Morgan	Fake News Detection
14	Alan Uthuppan	Fairness-aware Machine Learning

15	Vasisht Pabathi	Active learning
16	Yihan Zhang	Transfer learning
17	Thanh Nguyen	Zero-Shot and Few-Shot Learning
18	Xinwen Zhang	Parallel and Distributed Data Science
19	James Otwell	Privacy-preserving data mining
20	Jack Campbell	Sports Analytics