I am a Postdoctoral Research Fellow at the University of Eastern Finland and Tampere University, Finland. I have research interest in machine learning, subspace learning, anomaly detection, pattern recognition, and related areas.
EDUCATION
PhD, Machine Learning & Signal Processing, Aug. 2018 – Jun. 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
IEEE R8 2025 Entrepreneurship Competition Finalist.
IEEE Research and Technologies for Society and Industry, NextGen Startup for Impact competition Finalist.
AI Cybersecurity Deep Hack 2025 Winner (Multimodal AI solution for identifying deception patterns to protect autonomous systems).
Tampere City Challenge Hackathon 2024 Winner.
Honorable mention at the 2023 Photonics & Electromagnetics Research Symposium (PIERS) for a co-authored paper titled "Improved Active Fire Detection using Operational U-Nets".
Honorable mention from the City of Tampere for Technical Creativity of the Year 2022 for developing a framework for early heart attack detection using multi-view echocardiography.
Post Docs in Companies program (PoDoCo) 2023 award/grant recipient for “Brain neural-like analysis of multimodal data via groundbreaking Machine Learning and AI solutions” at Haltian (Funded by: Foundation for Economic Education).
Finnish Foundation for Technology Promotion (2022) award/grant recipient (Theme: Disruptive technologies and technologies for smarter everyday life).
Nokia Foundation 2020 award/grant recipient.
Fully funded scholarship recipient for MS electronics engineering.
Selected by Sabanci University to study 2nd year of masters at Delft University of Technology Netherlands under the scope of Socrates Erasmus.
Best teaching assistant incentive award (Sabanci University Istanbul, fall 2013).
Cum laude Graduate of FAST NUCES (above 3.5/4 Cumulative GPA in BS).
Three silver medals during BS at FAST NUCES (2nd position in 1st, 2nd, and 3rd semester).
6 certificates of Dean’s Honor List for scoring Semester GPA above 3.5/4 at FAST NUCES during BS degree.
Chosen by the Ministry of Science & Technology, Pakistan, as the country's inaugural delegate to the 54th London International Youth Science Forum (LIYSF) in 2012. Participated in seminars and workshops at Imperial College London, University of Oxford, and University of Cambridge, as part of LIYSF.
Merit scholarship recipient at high school for being the top student of the batch.
Activities
Coordinator: Summer School on Trustworthy AI 2023 at Tampere University.
Participant: Winter school 2023 "Advanced Methods for Mathematical Image Analysis" at the University of Bologna, Italy.
Invited Talk (Onsite): Presented "Subspace Learning for One-Class Classification" at the University of Florida, Nov 2022.
Student ambassador: Delft University of Technology Signal and System Track, Aug 2014 – Aug 2015
General Secretary: “NUTEC 10” all Pakistan technology competition at FAST NUCES, Aug 2011-Aug 2012
Social worker and Founder Vice president: Young Pakistan Social Welfare Society, Aug 2008-current
Conferences/events participation: NUTEC2008, Softec2011, LIYSF2012, Eusipco2015, ERF2018, ICPR2018, WellComp2020, SSCI2020, SSCI2023.
Membership
IEEE Member Finland section, Mar. 2019- Current
IEEE Biometrics Council member, Mar. 2019- Current
IEEE Young Professionals, Mar. 2019- Current
IEEE Signal Processing Society, Jan. 2019- Dec. 2022
Computer Vision and Pattern Analysis Laboratory (VPA LAB) Sabanci University, Aug. 2013 – Jan. 2016
Machine Intelligence for Speech Audio and Multimedia (MISAM) research group, Aug. 2013 – Jan. 2016
Pattern Recognition Laboratory (PR-LAB) Delft University of Technology, Aug. 2014 – Aug. 2015
PEDAGOGY/ TEACHING/ SUPERVISING EXPERIENCE
Pedagogy Courses/Training: (Basic 25 Credits completed)
Teaching and learning in higher education (10 Cr)
Curriculum and educational development (5 Cr)
Academic supervision and guidance, Participation in teaching (5 Cr)
Participatory development project (5 Cr)
Essentials of Doctoral Supervision (1 Cr)
Supervising experience: Actively co-supervising and mentoring doctoral, master’s, and bachelor’s students on Machine learning and data science topics.
Co-supervised MS thesis:
”A Comparative Study of Machine Learning Models for Anomaly Detection in Vessel Operational Data” by Ali, Usama (2024).
”Anomaly Detection for Time Series Data from Internet of Things Devices” by Raza, Syed Shamir (2024).
”Industrial Metaverse Dynamics: Metaverse Strategies for Material Flow Optimization in Industry Evolution” by Lignell, Anni (2024)
”Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data” by Chaudhry, Faiz (2024).
”Forecasting Electric Vehicle Charge Point Availability using Machine Learning Models" by Khan, Abid Nawaz (2024).
"Credit Card Fraud Detection using One-Class Classification Algorithms" by Zaffar, Zaffar (2023).
Supervised Bachelor’s Projects
“One-Class Classification for Gastrointestinal Endoscopy Images” Lauri Syrjynen.
“Machine Learning-Based Analysis of Electrocardiograms for Anomaly Detection” Tommi Salonen.
Teaching at Tampere University, Tampere, Finland
Co-Lecturer for DATA.ML.330-2024-2025 Media Analysis, 2025.
Co-Lecturer for DATA.ML.310 Artificial Intelligence, 2025.
Served as head of teaching assistants and helped in managing COMP.SGN.110 Introduction to Image and Video Processing course (~80 students) for 2 terms (2022-2023).
Conducted weekly computer lab sessions for a group of 15-20 students to help them implement various algorithms for COMP.SGN.110 Introduction to Image and Video Processing course for 5 academic terms (2017-2021).
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-101 (Calculus 1), Math-102 (Calculus 2), and Math-202 (Differential Equations) for 3 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.