Pawalai

ผศ.ดร.ภาวลัย ไกรพีรพรรณ

ติดต่อ

Office: SCL208
Phone: 02-310-8406

วิชาที่สอน

COS2102 การเชียนโปรแกรมเชิงอ็อบเจกต์ (Object-Oriented Programming)
COS2212 การเขียนโปรแกรมภาษาสวิฟท์ (Swift programming)
COS4311 รูปแบบและการออกแบบซอฟต์แวร์ (Pattern and Software Design)
INT2103 การออกแบบส่วนต่อประสานกับมนุษย์ (Human Interface Design

ตารางสอน

ตารางสอน ภาค 2 ปีการศึกษา 2567

ตารางสอน
วัน/เวลา 07:30-09:20 09:30-11:20 11:30-13:20 13:30-15:20 15:30-17:20 17:30-19:20
จันทร์
อังคาร เวลาให้คำปรึกษา
(09:30-11:30)		 COS2212
SCL 206
(LEC.)		 COS2212
SCL 206
(LAB.)
พุธ เวลาให้คำปรึกษา
(09:30-12:30)		 COS2102
SCL 204
(LEC.)		 COS2102
SCL 211/2
(LAB.)
พฤหัสบดี
INT2103
SCL 211
COS4311
SCL 211
ศุกร์

การศึกษา

2009 Ph.D. Information Technology, Murdoch University, Australia
2004 M.Sc. Geo-Information Science and Earth Observation, International Institute for Geo-Information Science and Earth Observation (ITC), Netherland
1998 M.Sc. Information Technology, King Mongkut’s Institute of Technology Ladkrabang (KMITL), Thailand
1992 B.Sc. Mathematics, Chulalongkorn University (CU), Thailand

ผลงานวิชาการ

  1. S. Meesri, S. Amornsamankul and P. Kraipeerapun, “Rice Classification Using Three-Step Neural Network Integration,” 2024 International Conference on System Science and Engineering (ICSSE), Hsinchu, Taiwan, 2024, pp. 1-5.
  2. C. Nilnumpetch, S. Amornsamankul and P. Kraipeerapun, “Health Data Classification using Applied Cascade Generalization,” 2023 International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal, 2023, pp. 503-507.
  3. C. Nilnumpetch, S. Amornsamankul and P. Kraipeerapun. “Cascade Generalization and Complementary Neural Networks for Multiclass Classification,” 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic, 2022, pp. 1-5.
  4. C. Nilnumpetch, S. Amornsamankul and P. Kraipeerapun. “Cancer Prediction Using Cascade Generalization and Duo Output Neural Network,” the Sixth International Conference on Research in Intelligent and Computing in Engineering, 2021, pp. 65-70.
  5. A. Mahaweerawat, C. Nilnumpetch and P. Kraipeerapun. “Applying Stacked Generalization with the Difference of Truth and Falsity Data to Predict Student’s Performance,” 2020 5th International Conference on Computer and Communication Systems (ICCCS 2020), Shanghai, China, 15-17 May 2020, pp. 148-152.
  6. P. Kraipeerapun and S. Amornsamankul. “Using Cascade Generalization and Neural Networks to Select Cryotherapy Method for Warts,” the International Conference on Engineering, Science, and Industrial Applications (ICESI 2019), Tokyo, Japan, 22-24 August 2019, pp. 106-110.
  7. P. Kraipeerapun and S. Amornsamankul. “Room Occupancy Detection using Modified Stacking,” the 9th International Conference on Machine Learning and Computing (ICMLC2017), Singapore, Singapore, 24-26 February 2017.
  8. P. Kraipeerapun and S. Amornsamankul. “Using Falsity Data in the Stacking Technique,” the International Conference on Computational Intelligence and Applications (ICCIA2016), Jeju Island, Korea, 27-29 August 2016, pp. 1-5.
  9. P. Kraipeerapun and S. Amornsamankul. “Classification of Types of Forests Using Complementary Neural Networks and StackingC,” the 14thIASTED International Conference on Software Engineering (SE 2016), Innsbruck, Austria, 15-16 February 2016, pp. 289-293.
  10. P. Kraipeerapun and S. Amornsamankul. “Using Stacked Generalization and Complementary Neural Networks to Predict Parkinson’s Disease,” the 2015 11 th International Conference on Natural Computing (ICNC 2015), Zhangjiajie, China, 15-17 August 2015, pp. 1294-1298.









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