TITLE (PROF/DR/): DR.

NAME: ANTHONY NWOHIRI

POSITION: SENIOR LECTURER

SPECIALISATION: COMPUTER SCIENCE

EDUCATION/TRAINING (Begin with Bachelor’s degree or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable.)

INSTITUTION AND LOCATION

DEGREE

(if applicable)

Completion Date

MM/YYYY

FIELD OF STUDY

St. Petersburg State University, Russia

B.Sc.

06/2008

Information Technology

St. Petersburg State University, Russia

M.Sc.

06/2010

Information Technology

St. Petersburg State University, Russia

Ph.D.

06/2014

Computer Science

Massachusetts Institute of Technology, USA

Training

05/2023

Teaching-focused training/engagement

Personal Statement

  • Proactive and creative teacher and researcher.
  • Always looking for innovative ways to effectively deliver my content to students.
  • Possess efficient problem-solving skills.
  • Qualified, adaptable, motivated, enthusiastic and focused.
  • Have cultivated some basic teaching skill set that allows me deliver engaging lessons, rigorous classroom management, and impressive results in development and exams.
  • Loves working independently and, in a team.
  • Able to come up with solutions in a timely and appropriate manner.
  • Able to work to tight deadlines and follow through to ensure that the job gets done.
  • Committed to safeguarding and promoting the education and wellbeing of my students at all times.

Positions, Scientific Appointments, and Honours

  • Scholarship Awards (B.Sc., M.Sc., Ph.D.) under the Bilateral Education Agreement between Nigeria and Russia
  • Deputy Director, Centre for Information Technology and Systems, University of Lagos
  • Twice-elected member of the University of Lagos (UNILAG) Senate since 2023
  • Fellow, Massachusetts Institute of Technology-Empowering the Teachers program, USA

Selected Most Recent Publications  /Contributions to Knowledge

  1. Nwohiri A.M. and Pechnikov A.A. (2024). Methodology for Analyzing Thematic Co-Authorship Networks, International Journal of Open Information Technologies, 12(10), 62–70.
  2. Nwohiri A.M., Laguda A.A., Olanite A. A., and Olabamire D.D. (2024). Logistic Regression Technique for Cardiovascular Disease Prediction. Fudma Journal Of Sciences, 8(4), 266–275. https://doi.org/10.33003/fjs-2024-0804-2624
  3. Chebukov D.E., Nwohiri A.M., Pechnikov A.A., Znamenskaya E.A. (2023). Analysis of Co-Authorship Pattern in Mathematics-Related Fields, Journal of Harbin Engineering University, 44(12), 851–861.  https://harbinengineeringjournal.com/index.php/journal/article/view/2271
  4. Pechnikov A.A., Bogdanov, N., Nwohiri A.M., Nwohiri I.C.,  (2023). Two Approaches for Detecting Pneumonia from Chest X-ray Images: Neural Network vs Kolmogorov Complexity, Periodica Polytechnica Electrical Engineering and Computer Science, 67(3), 345–354. https://doi.org/10.3311/PPee.21616
  5. Nwohiri A.M., Ogude U.C., Nguyen H.V., Sanchez E.M. (2022). Bolstering user authentication: a kernel-based fuzzy-clustering model for typing dynamics. International Journal of Electrical and Computer Engineering Systems, 13(4), 301–310. https://doi.org/10.32985/ijeces.13.4.6.

Collaborators/ Networks (International inclusive) 

  1. Andrey Pechnikov, Institute of Applied Mathematical Research, Petrozavodsk, Russia
  2. Dmitry Chebukov, Steklov Mathematical Institute, Moscow, Russia
  3. Hai Vinh Nguyen, Vietnam National University, Hanoi, Vietnam
  4. Adeyemi Laguda, Datagene, UK
  5. Edilberto Moreno Sanchez, Autonomous National University of Mexico, Mexico City, Mexico