Teaching and Research
On this page, you will be familiar with my past and current scientific projects, travels, teachings, etc.
Research and Scientific Projects
Travel and Upcoming Trips
Countries Visited
Albania, Australia, Austria, Bulgaria, Belgium, Canada, Czech Republic, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hong Kong, Hungary, Iceland, India, Italy, Japan, Latvia, Lithuania, Luxembourg, Malaysia, Malta, Montenegro, Nepal, Netherlands, Norway, Pakistan, Poland, Portugal, Qatar, Romania, Russia, Serbia, Singapore, South Korea, Spain, Sri Lanka, Sweden, Switzerland, Thailand, Turkey, UAE, United Kingdom, USA, Vatican City, Vietnam
Ph.D/Masters/Bachelors lever Mentoring and Teaching
Previous Ph.D. Thesis Examiner/Evaluation:
- Reverse Search Engine Using CBIR System by Ms. Shilpa Marathe, Ph.D. Thesis Reference: 20190304002, DY Patil International University, Akurdi Pune India, July 2024
- Prediction of Novel Drugs and Diseases with Dimensionally reduction and intelligence based Random Walk Methods, Presented by Jafar Ali Ibrahim S, Ph.D. Thesis reference: 17184697234/Ph.D./AR6, Anna Unversity Chennai 600025, India, March 2020
- Fully Printable RFID tags towards Internet of Things Presented by Ayesha Habib, Registration Number 14F-UET-PhD-TE-14, University of Engineering and Technology, Taxila, Pakistan, October 2017
Doctoral Students’ Supervision/Mentoring
- Student 1 – Mentoring and Supervision Affiliation with University of Turku, Finland, Proposed Dissertation Autumn 2024, Area of Research- AI methods in Solar Cell Optimization
- Student 2- Mentoring and Supervision Affiliation with University of Turku, Finland, Proposed Dissertation Autumn 2025, Area of Research- AI and Machine Learning in Minerals Prospects Mapping
Graduate Level (Master’s Level) Teaching
- Program’s Name: Master’s Degree in Digital Health
- Course’s Name: Integration of Mobile and IoT Application
- Academic Year: 2023-2024 [Autumn 2023, September- December]
- Start Date: 15th September 2023
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: Online
- Learning Environment: Moodle
- Course Information: YouTube Link
Courses Taught and Currently Teaching at Undergraduate (Bachelor’s degree) Level:
1. Sensor Basics:
Course Objectives: The student knows the principles of the most common sensors and understands their operating principles. He/she is acquainted with the physical effects and mathematical principles related to sensors. The student is able to utilize his/her knowledge in various measurement tasks as well as to design and build new sensor-based implementations. He/she has a good overview of instability and terminology related to measurement technology.
- Academic Year: 2023-2024 [Autumn 2023, September- December]
- Number of Students: 37 International students IoT undergraduate
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: In-person
- Learning Environment: Moodle
- Moodle Page Link: https://moodle.savonia.fi/course/view.php?id=18215
2. Industrial Internet of Things and Digital Health Ecosystems
Course Objectives: During this course, students will acquire a knowledge of the ecosystem of the Internet of Things (IoT) and learn how IoT will dramatically transform manufacturing, health, energy, agriculture, transportation, and other industrial sectors of the economy using novel interactions between humans and machines.
- Academic Year: 2023-2024 [Autumn 2023, September- December]
- Number of Students: 53 International students IoT undergraduate
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: Hybrid (Zoom + In-person)
- Learning Environment: Moodle
- Moodle Page Link: https://moodle.savonia.fi/course/view.php?id=18197
3. Circuits and Systems:
Course Objectives: After completing the course, the student will be able to
– Understand the fundamental concepts and laws of electric circuits
– Learn circuit analysis methods
– Solve problems related to electric circuits
- Academic Year: 2023-2024 [Spring 2024, January- April]
- Number of Students: 41 International students IoT undergraduate
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: In-person
- Learning Environment: Moodle
- Moodle Page Link: https://moodle.savonia.fi/course/view.php?id=12551
4. Analog Electronics
Course Objectives: The student is familiar with passive components and the most common semiconductors and their features. He/she can draw and simulate functions of simple DC-circuits utilizing a SPICE simulator program. The student recognizes the most common components and blocks in circuit diagrams.
- Academic Year: 2022-2023 [Spring 2023, September- December]
- Number of Students: 39 International students IoT undergraduate
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: In-person
- Learning Environment: Moodle
- Moodle Page Link: https://moodle.savonia.fi/course/view.php?id=13641
5. Digital Electronics
Course Objectives: The student understands the fundamental topics in digital system design. He/she is familiar with basic concepts of the digital techniques and their mutual dependences. The student knows essential applications of the digital electronics and constructions.
- Academic Year: 2022-2023 [Autumn 2022, September- December]
- Number of Students: 39 International students IoT undergraduate
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: In-person
- Learning Environment: Moodle
- Moodle Page Link: https://moodle.savonia.fi/course/view.php?id=15870
6. Wireless and Radio Technology
Course Objectives: The student is able to apply wireless and Rf-technologies to data transmission. The student knows the special requirements and propagation of short-range radio technology. The student is able to apply the theory of antennas and to design antennas. The student has in-depth knowledge of multipath propagation mechanisms and their influence on receiving of signals and signal quality. Student can apply wireless technologies and transmission wireless protocols to embedded radio systems.
- Academic Year: 2022-2023 [Autumn 2022, September- December]
- Number of Students: 42 International students IoT undergraduate
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: In-person
- Learning Environment: Moodle
- Moodle Page Link: https://moodle.savonia.fi/course/view.php?id=12560
7. Digital Signal Processing/Mathematical Algorithms
Course Objectives: The student understands the fundamental topics in digital system design. He/she is familiar with basic concepts of the digital techniques and their mutual dependences. The student knows essential applications of the digital electronics and constructions.
- Academic Year: 2022-2023 [Autumn 2022, September- December]
- Number of Students: 39 International students IoT undergraduate
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: In-person
- Learning Environment: Moodle
- Moodle Page Link: https://moodle.savonia.fi/course/view.php?id=15869
8. Orientation Projects
Course Objectives: The student is able to produce a report text according to Savonia reporting style. Student get skills in project work, time scheduling, teamworking, innovations and reporting. They will get skills of different use cases of IoT systems and can describe them.
- Academic Year: 2023-2024 [Spring 2024, January- April]
- Number of Students: 41 International students IoT undergraduate
- ECTS and Evaluation: 5 ECTS and 1-5
- Method of Delivery: In-person
- Learning Environment: Moodle
- Moodle Page Link: https://moodle.savonia.fi/course/view.php?id=16868