Segun ADEBAYO
Assistant Professor
college of Agriculture, Engineering and Science (COAES)
Mechatronics Engineering Programme
Segun Adebayo is a graduate of Electrical and Electronics Engineering. He is a passionate scholar and researcher in communication and signal processing with a deep bias for machine learning, robotics, and internet of Things. He is highly intelligent, inquisitive, smart and skilled academic with vast experience in teaching, research and community service. A great team lead, perfect team member and workaholic that derives maximum fulfillment at proffering solution to critical challenges. He loves to think BIG, start small and scale up rapidly.
Education
- Federal University of Technology, Akure, Nigeria Ph.D 2015-2019
- Federal University of Technology, Akure, Nigeria M.Eng. 2010-2014
- Abubakar Tafawa Balewa University, Bauchi, Nigeria B.Eng. 1998-2004
Research
- Principal Investigator Dynamic Vision Transformer based approach for edible, inedible and poisonous mushroom classification Bowen University BRE/2023/003 2023
- Co-Investigator Smart Poultry: An Artificial Intelligence based monitoring and detection system using Audio signal Bowen University BRE/2023/003 2023
- Co-Investigator “K’eyema-ba: Pest detection and prevention using Unmanned Aerial Vehicle on farmland” Bowen University BRE/2022/004 2022
- Principal Investigator Artificial Intelligent E-extension Unmanned Aerial Vehicle (UAV) for African local farmers Bowen University BRE/2020/004 2020
- Co-Investigator Bat Research Bowen University BRE/2020/001 2020
- Principal Investigator Understanding Bat Movement Pattern: Leveraging on Radio Telemetry and Data Analytics (Data Science Africa) DSA/2020/06 2020
Institutional Service
- 100 Level Adviser 2018/2019
- ICT Technical Board Committee 2008-2018
- CIT Department Exam officer 2018/2019
- Engineering Department Exam officer 2020/2021
- Member Organizing Committee- Designing Thinking Workshop 2015 & 2019
- Member, Curriculum Development Committee for Sasakawa Prog 2019
- Member, Curriculum Development Committee for Engr. Programs 2019
- Member, Student-Lecturer Assessment Monitoring Committee 2020/2021
- SIWES Mechatronics Engineering Program Representative 2020/2021
- Member Indigenous Knowledge Conference Committee 2022
- Member LOC, International Bat Conference 2023
- Member, Committee on Improvement of Students Enrolment in College Programmes 2023
- Head of Program, Mechatronics Engineering 2022-2024
Professional Service
- International Association of Engineers (IAENG): Membership No: 153802
- Nigerian Society of Engineers (NSE): Membership No: 15473_81
- Council of Registered Engineers (COREN): Membership No: In Progress
- AI+ Member, Data Science Nigeria: Membership No: DSN/AIPlus/2019/0669
- ACM Special Interest Group on Economics and Computation: Membership No. 0019136
- Black in AI
- Black in Engineering
- Black in Robotics
Selected Publications
- Segun, Adebayo, Halleluyah O. Aworinde, Akinwale O. Akinwunmi, Olufemi M. Alabi, Adebamiji Ayandiji, Aderonke B. Sakpere, Adetoye Adeyemo, Abel K. Oyebamiji, Oke Olaide, and Echentama Kizito. “Enhancing poultry health management through machine learning-based analysis of vocalization signals dataset.” Data in Brief 50 (2023): 109528. [SCOPUS]
- Aworinde, Halleluyah O., Segun Adebayo, Akinwale O. Akinwunmi, Olufemi M. Alabi, Adebamiji Ayandiji, Aderonke B. Sakpere, Abel K. Oyebamiji, Oke Olaide, Ezenma Kizito, and Abayomi J. Olawuyi. “Poultry fecal imagery dataset for health status prediction: A case of South-West Nigeria.” Data in Brief 50 (2023): 109517. [SCOPUS]
- Aweda, Francis Olatunbosun, Segun Adebayo, Adetunji Ayokunnu Adeniji, Timothy Kayode Samson, and Jacob Adebayo Akinpelu. “Investigation of Wind Speed to Generate Energy Using Machine Learning Algorithms Approach Over Selected Nigerian Stations.” Journal of Renewable Energy and Environment 10, no. 3 (2023): 81-98. [SCOPUS]
- Aweda, Francis O., Solomon O. Adeola, Adetunji A. Adeniji, Segun Adebayo, Jacob A. Akinpelu, and Olusanya O. Jegede. “Temperature Forecasting for Iwo City, Nigeria Using Statistical Models and Selected Machine Learning Algorithms.” In IOP Conference Series: Earth and Environmental Science, vol. 1219, no. 1, p. 012027. IOP Publishing, 2023. [SCOPUS]
- Samson, T. K., A. C. Omoyajowo, Segun Adebayo, and S. O. Salawu. “Smart modelling of dairy milk production with machine learning.” In IOP Conference Series: Earth and Environmental Science, vol. 1219, no. 1, p. 012008. IOP Publishing, 2023. [SCOPUS]
- T K Samson, A C Omoyajowo, Segun Adebayo, and S O Salawu (2023) Smart modelling of dairy milk production with machine learning, International Conference on Sustainable Dairy Production IOP Conf. Series: Earth and Environmental Science 1219 012027 IOP Publishing, doi:10.1088/1755-1315/1219/1/012027. [SCOPUS]
- Halleluyah Oluwatobi Aworinde, Oladosu Oladimeji, Segun Adebayo, Akinwale Akinwunmi, Aderonke B. Sakpere, Olayanju Oladimeji (2023) A Deep Learning Model for Identical National Flag Recognition in Selected African Countries, International Journal of Applied Sciences and Smart Technologies (IJASST), Volume 05, edition 02.
- Akinwunmi A.O., Aworinde H. O., Adebayo S., Akinpelu J.A., (2023) Geospatial Cloud-Based Model for Mitigating Impact of Natural Disaster and Security Threats Using Smart Digital Devices. International Journal of Computer Network and Information Security (IJCNIS), DOI: 10.5815/ijwmt.2023.02.03
- Adebayo, S., Aworinde H.O, Akinwunmi A.O., (2023). Convolutional neural network-based crop disease detection model using transfer learning approach. Indonesian Journal of Electrical Engineering and Computer Science, Vol. 29, No. 1, January 2023, pp. 365~374 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v29.i1.pp365-374. [SCOPUS] 2022
- Nnodim, C. T., Kpu, G. C., Okhuegbe, S. N., Ajani, A. A., Adebayo, S., Diarah, R. S., & Osueke, C. O. (2022). Figures of Merit for Wind and Solar PV Integration in Electricity Grids. Journal of Scientific and Industrial Research (JSIR), 81(04), 349-357. [SCOPUS]
- S. Adebayo, F.O. Aweda, I.A Ojedokun, O.T Olapade (2022) “Refractive Index Perception and Prediction of Radio wave through Recursive Neural Networks” International Journal of Engineering, Volume 35, No 4, ISSN: 1728-1431, e-ISSN: 1735-9244 https://www.ije.ir/article_142217_6d72bc4513b7740ee834ee00bfd92f42.pdf [SCOPUS]
- Odunayo, Olanloye, Olawumi Olasunkanmi, Adetoye Adeyemo, and Adebayo Segun (2022) “Performance Evaluation of Machine Learning Algorithms in the Diagnosis and Classification of Heart Diseases.” Journal of Applied Sciences, Information & Computing, Vol 3, No. 1 2021
- Adebayo S., Emuoyibofarhe O., and Awofolaju T.T. (2021) “Cost efficient internet of things based smart farm system for rural farmers: Leveraging design thinking approach.” Heritage and Sustainable Development Vol 2. No. 2, page 111-120. [SCOPUS]
- Aweda F.O and Adebayo S. (2021) “Estimation of net radiative measurement of meteorological parameters at Iwo, Nigeria in 2018” Zimbabwe Journal of Science & Technology pp 23 – 33, Volume 15, e-ISSN 2409-0360, Zimbabwe Journal of Science and Technology (nust.ac.zw).
- Emuoyibofarhe O.N, Famutimi R. F. Olanloye D.O., Adebayo S., Abdulraheem A. Ali (2021) “Development of Workforce Diseases Detection System Using Machine Learning Models” Journal of Applied Sciences, Information and Computing Volume 1, No. 2, ISSN: 1813-3509.
- Aweda F.O., Adebayo S., Samson T. K., Ojedokun I.A. (2021) “Modelling Net Radiative Measurement of Meteorological Parameters Using MERRA-2 Data in Sub-Sahara African Town” Iranian (Iranica) Journal of Energy & Environment (IJEE), Volume 12, Issue 2, ISSN:2079-2115 2019
- Awofolaju T. T, Ogbeide K, Adebayo S. (2019) “Smart Automation of Precision Fish Farm using Internet of Things (IOT)” International Journal of Innovation and Applied Studies (IJIAS), Vol 27, Issue 2, ISSN: 2028-9324
- Emuoyibofarhe O. N., Emuoyibofarhe, J. O., Adebayo, S., Ayandiji A, Oloyede D and Oreoluwa J (2019) “Detection and Classification of Cassava Diseases Using Machine Learning” International Journal of Computer Science and Software Engineering (IJCSSE), Volume 8, Issue 7, ISSN (Online): 2409-4285.
- Ozichi N Emuoyibofarhe, Segun Adebayo, Ayodeji Ibitoye, Madamidola O Ayomide, Aderibigbe Taye (2019) “Predictive System for Heart Disease Using a Machine Learning Trained Model” International Journal of Computer (IJC), Vol 34, issue 1, 140-152. 2018
- Adebayo S., Ogunti E.O., Akigbade K.F., Oyetade Idowu Sunday (2018), “Solution to Bird Pest on Cultivated Grain Farm: A Vision Controlled Quadcopter System Approach” International Journal of Engineering Research & Technology (IJERT), Vol 7, Issue 10, ISSN:2278-0181.
- Ogunti E.O., Akigbade K.F., Adebayo S., Oloyede Oladimeji (2018) “Decision Support System Using Mobile Applications in the Provision of Day to Day Information about Farm Status to Improve Crop Yield” Periodicals of Engineering and Natural Sciences, ISSN 2303-4521, Vol.6, No.2, pp. 89~99, [SCOPUS] 2015
- Adebayo, S., Ogunti E. O, Akinwunmi A. O, Aworinde H. O. (2015); “Increasing Agricultural Productivity in Nigeria Using Wireless Sensor Network (WSN)” African Journal of Computing & ICT, Vol 8. No. 3 Issue 2 – October, 2015.
- Emuoyibofarhe, N. Ozichi, Adebayo S., Lala, G. Olusegun, Aremu, R. Omolola (2015) “A Yoruba Cultural Tradition Repository Knowledge Based System” International journal of Emerging Trends in Science and Technology (IJETST), Vol 2, No 07 (2015), ISSN NO: 2348 – 9480.
- Adebayo, S., Ogunti E. O., Akinwunmi A. O, (2015); ” A Survey of Medium Access Control Protocols in Wireless Sensor Network” International Journal of Computer Applications (IJCA), http://www.ijcaonline.org/archives/volume116/number22/20465-9980. ISBN: 973-93-80886-39-4. 2014
- Adebayo, S., Ogunti, E.O., Awofolaju, T.T. (2014); “Performance Evaluation of some Modulation Techniques for Radio Frequency Identification (RFID) System under different communication channels” International Organization of Scientific Research- Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834, p- ISSN: 2278-8735.Volume 9, Issue 3, Ver. IV.
- Emuoyibofarhe, O.N., Famutimi, R. F., Adebayo, S. and Amu, O.E. (2014); “Data Analysis and Visualization on the Distribution of Petroleum Product in the South West of Nigeria.” An International Journal for the application of Wireless and Mobile Computing (IJFAWMC) Volume 3 ISSN: 2141-0720.
- Emuoyibofarhe, O.N., Famutimi, R. F., Adebayo, S. and Oti, G. M. (2014); “An Online Complaint Management System”. An International Journal for the application of Wireless and Mobile Computing (IJFAWMC) Volume 3 ISSN: 2141-0720.
- Halleluyah O Aworinde, Segun Adebayo, Damilare I Ayokunle, Oluwatosin E Atobatele (2023) “Envisioning Artificial Intelligence Possibilities in Tracking Eidolon Helvum Bats: A Review” Heliyon
- Halleluyah Oluwatobi Aworinde, Oladosu Oladimeji, Segun Adebayo, Akinwale Akinwunmi, Aderonke B. Sakpere, Olayanju Oladimeji (2023) “A Deep Learning Model for Identical National Flag Recognition in Selected African Countries” in IJASST for Volume 05, edition 02, December 2023
- Adebayo S., Aweda F.O., Adeniji A.A., Aworinde H.O., Ojedokun I.A., Agbolade J.O., Osueke C.O., Falaiye O.A. (2022). Toward Efficient 5G Deployment in Tropical Regions of Africa Through Predictive Analysis of Meteorological Data. IOP series
Peer Reviewed Conferences and Workshops
- Adebayo Segun (2023) “Application of Suitable Statistical Tool for Effective Inference in a Multimodal Dataset Scenario. Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference @ the Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste from 29 May 2023 to 02 June 2023.
- Adebayo Segun, Aworinde Halleluyah, Akinwunmi Akinwale, Adebamiji Ayandiji (2022) “Computer Vision Use case: Pest Detection and Prevention using Unmanned Aerial Vehicle on Farmland. African regional workshop on SciTinyML: Scientific Use of Machine Learning on Low-Power Devices, Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste.
- Adebayo S., Aweda F.O., I.A. Ojedokun, J.O. Agbolade (2021). “Meteorological Data Prediction over Selected Stations in Sub-Sahara Africa: Leveraging on Machine Learning Algorithm. International Conference on Science and Sustainable Development (ICSSD-2021).
- Akinwale Akinwunmi, Halleluyah Aworinde, Olalekan Awoniran, Segun Adebayo and Eunice Ogbu (2021) “Machine Learning Approach for a Cloud-Based Smart Farming System” 4th Biennial International Conference on Transition from Observation to Knowledge and Intelligence August 19th – 21st 2021.
- Adebayo S., Olorunfemi T. O., and Aworinde H. O. (2021) “A Computer Vision and Control Algorithm on Unmanned Aerial Vehicle for Smart Farm” HUMBOLDT-KOLLEG, OGBOMOSO 2021, June 29th – July 2nd 2021.
- Aworinde Halleluyah, Adebayo Segun, Ayomide Adejola, Akinwunmi Akinwale (2020) “Car Crash Predictive model using Drivers behavioural Pattern: Recurrent Neural Network Approach” Data Science Nigeria 2020 AI Bootcamp, Nigeria, November 13-15th. 2020.
- Aworinde Halleluyah, Adebayo Segun, Ayomide Adejola, Akinwunmi Akinwale (2020) “Increasing Agricultural Productivity in Africa using Discriminative Deep Learning Models for Farmland Bird Invasion Identification and Dispersal System” Data Science Africa & Machine Learning Workshop, Kampala, Uganda, July 24th- August 1st, 2020.
- Adebayo Segun, Aworinde Halleluyah, Akinwunmi Akinwale, Adebamiji Ayandiji (2020) “Artificial Intelligent E-extension Unmanned Aerial Vehicle (UAV) for local Farmers” Data Science Africa & Machine Learning Workshop, Kampala, Uganda, July 24th- August 1st, 2020.
- Aworinde H.O., Adebayo S., Akinwunmi A.O., Alamu F.O., Abiodun A.O., Oladele Femi (2020) “Learning Attackers behavioral patterns for strategic defense in Nigeria” 21st ACM Conference on Economics & Computation.
- Emuoyibofarhe, O.N, Adebayo S. and Madamidola O Ayomide (2017) “Typhoid Patients Temperature Monitoring System, 7th Conference on Mobile e-Services, Ladoke Akintola University of Technology.