Fahad Sohrab

I am a Postdoctoral Research Fellow at Signal Analysis and Machine Intelligence (SAMI) Research group, Tampere University, Tampere, Finland. I have research interest in machine learning, anomaly detection, pattern recognition and related areas. 

EDUCATION

PhD, Machine Learning & Signal Processing, Aug 2018 – June 2022
Tampere University, Finland

Research visit Feb-March 2022
University of Louisiana at Lafayette, USA

MS, Electronics Engineering, Aug 2013 – Dec 2015
Sabanci University Istanbul, Turkey (1st year)
Delft University of Technology, Netherlands (2nd year)

BS, Telecom Engineering (cum laude graduate), Aug 2008 – Aug 2012
FAST-National University of Computer and Emerging Sciences Pakistan


HONORS and AWARDS

Activities

Membership


PEDAGOGY/ TEACHING/ SUPERVISING EXPERIENCE

Teaching and learning in higher education (10ECTS, completed), 

Essentials of Doctoral Supervision (1ECTS, completed), 

Academic supervision and guidance, Participation in teaching (5ECTS, completed),

Participatory development project (5ECTS, currently enrolled),

Curriculum and educational development (5 ECTS, currently enrolled).

Actively co-supervising and mentoring 2 master’s students on topics related to Machine learning and data science.

o Credit Card Fraud Detection using One-Class Classification Algorithms" by Zaffar, Zaffar (2023)

Teaching at Tampere University, Tampere, Finland
Sep 2017 – Current

Served as head of teaching assistants and helped in managing image and video processing course (~80 students).

Conducted weekly computer lab sessions for a group of 15-20 students to help them implement various algorithms for image and video processing course for 5 academic terms.

Teaching at Sabanci University, Istanbul, Turkey
Sep 2013 – Jul 2014 / Sep 2015 – Dec 2016

Conducted weekly sessions for a group of ~30 undergraduate students to discuss and provide solutions regarding math Math-101 (Calculus 1), Math-102 (Calculus 2), and Math-202 (Differential Equations) for three different academic terms, respectively.

Conducted weekly lab sessions for students of CS 412/512 (Machine Learning) to implement basic classification algorithms during weekly recitation sessions during fall 2015.