prof. madya dr. mohamad hanif bin md saad

pensyarah universiti

jabatan kejuruteraan mekanikal & pembuatan

 hanifsaad@ukm.edu.my



   Biografi/ Biography :

  • Mohamad Hanif Md Saad kini merupakan Profesor Madya di Fakulti Kejuruteraan & Alam Bina, Universiti Kebangsaan Malaysia. Beliau juga merupakan Pengarah Pusat Teknologi Maklumat UKM. Pengkhususan beliau adalah di dalam Penyelidikan, Pembangunan & Pengkomersilan Sistem Pintar Tersambung, Kepintaran Buatan dan IoT.
    Mohamad Hanif Md Saad is currently an Associate Professor & Deputy Dean ( Research & Innovation) at the Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia. His passion is in Research, Dev. & Commercialization of Applied Intelligent Systems, Mechatronics and Complex Event Processing.

  • muhammad naim bin che kamarudin, afida binti ayob, aini binti hussain, shaheer ansari, maher. g. m. abdolrasol, mohamad hanif bin md saad.  (2024).  review of lorawan: performance, key issues and future perspectives.  - jurnal kejuruteraan.  407-418. 

     

    shafrida binti sahrani @ shahran;mohamad hanif bin md saad;sharizal bin hashim.  (2024).  internet of things (iot)-enabled smart agri-food framework for sarawak gula apong.  -

     

    afida ayob, shaheer ansari, aini hussain, mohamad hanif md saad, m. s. hossain lipu.  (2024).  particle swarm optimized back propagation neural network for state of health estimation of lithium-ion battery.  - jurnal kejuruteraan.  365-373. 

     

    mahidur r. sarker, amna riaz, m.s. hossain lipu, mohamad hanif md saad, mohammad nazir ahmad, rabiah abdul kadir, jos┤e luis olazagoitia.  (2024).  micro energy harvesting for iot platform: review analysis toward future research opportunities.  - heliyon.  1-27. 

     

    shaheer ansari, afida ayob, m.s. hossain lipu, aini hussain, mohamad hanif md saad.  (2024).  jellyfish optimized recurrent neural network for state of health estimation of lithium-ion batteries.  - expert systems with applications.  1-22. 

     

    mahidur r. sarker, amna riaz, m.s. hossain lipu, mohamad hanif md saad, mohammad nazir ahmad, rabiah abdul kadir, jos┤e luis olazagoitia.  (2024).  micro energy harvesting for iot platform: review analysis toward future research opportunities.  - heliyon.  1-27. 

     

    shaheer ansari, afida ayob, m.s. hossain lipu, aini hussain, mohamad hanif md saad.  (2024).  jellyfish optimized recurrent neural network for state of health estimation of lithium-ion batteries.  - expert systems with applications.  1-22. 

     

    m. s. hossain lipu, m. a. hannan, aini hussain, shaheer ansari, s. a. rahman, mohamad hanif md saad, k. m. muttaqi.  (2023).  real-time state of charge estimation of lithium-ion batteries using optimized random forest regression algorithm.  - ieee transactions on intelligent vehicles.  639-648. 

     

    shaheer ansari, afida ayob, m.s. hossain lipu, aini hussain, maher g.m. abdolrasol, muhammad ammirrul atiqi mohd zainuri, mohamad hanif md. saad.  (2023).  optimized data-driven approach for remaining useful life prediction of lithium-ion batteries based on sliding window and systematic sampling.  - journal of energy storage.  1-22. 

     

    mahidur r. sarker, mohamad hanif md saad, amna riaz, m. s. hossain lipu, josÚ luis olazagoitia.  (2022).  micro energy storage systems in energy harvesting applications: analytical evaluation towards future research improvement.  - micromachines.  1-34. 

     

    shaheer ansari,afida ayob,molla shahadat hossain lipu,aini hussain and mohamad hanif md saad.  (2021).  multi-channel profile based artificial neural network approach for remaining useful life prediction of electric vehicle lithium-ion batteries.  - energies.  1-22. 

     

    mahidur r. sarker, ramizi mohamed, mohamad hanif md saad, muhammad tahir and aini hussain.  (2021).  vibration based energy harvesting system for mobile device charging.  - international journal of applied electromagnetics and mechanics.  149-169. 

     

    m. s. hossain lipu, m. a. hannan, aini hussain, afida ayob, mohamad h. m. saad and kashem m. muttaqi.  (2020).  state of charge estimation in lithium-ion batteries: a neural network optimization approach.  - electronics.  1-24. 

     

    mohamad hanif md saad, mahidur r. sarker, aini hussain.  (2020).  application of complex event processing approaches for intelligent building development: a review.  - journal of ambient intelligence and smart environments.  101-124. 

     

    m. f. mod yunoh, s. abdullah, m. h. m. saad, z. m. nopiah, m. z. nuawi, s. s. k. singh.  (2018).  probabilistic-based analysis for damaging features of fatigue strain loadings.  - frattura ed integrita strutturale. 

     

    mahidur r. sarker, amna riaz, m.s. hossain lipu, mohamad hanif md saad, mohammad nazir ahmad, rabiah abdul kadir, jos┤e luis olazagoitia.  (2024).  micro energy harvesting for iot platform: review analysis toward future research opportunities.  - heliyon.  1-27. 

     

    shaheer ansari, afida ayob, m.s. hossain lipu, aini hussain, mohamad hanif md saad.  (2024).  jellyfish optimized recurrent neural network for state of health estimation of lithium-ion batteries.  - expert systems with applications.  1-22. 

     

    shaheer ansari, afida ayob, m.s. hossain lipu, aini hussain, maher g.m. abdolrasol, muhammad ammirrul atiqi mohd zainuri, mohamad hanif md. saad.  (2023).  optimized data-driven approach for remaining useful life prediction of lithium-ion batteries based on sliding window and systematic sampling.  - journal of energy storage.  1-22. 

     

    khaled a. alaghbari, heng-siong lim, mohamad hanif md saad, yik seng yong.  (2023).  deep autoencoder-based integrated model for anomaly detection and efficient feature extraction in iot network.  - iot.  345-365. 

     

    m. s. hossain lipu, m. a. hannan, aini hussain, shaheer ansari, s. a. rahman, mohamad hanif md saad, k. m. muttaqi.  (2023).  real-time state of charge estimation of lithium-ion batteries using optimized random forest regression algorithm.  - ieee transactions on intelligent vehicles.  639-648. 

     

    md mahmud yusuf , mohamad hanif md saad, nurul maisarah hamdan,shafrida sahrani,zulkhairi bin zainol abidin.  (2023).  design and development of a cloud based dashboard for indoor vertical farming system using thingssentral.  - 2023 ieee symposium on industrial electronics & applications (isiea).  1-5. 

     

    marizuana mat daud, mohamad hanif md saad, mohamad taha ijab.  (2021).  conceptual design of human detection via deep learning for industrial safety enforcement in manufacturing site.  - ieee international conference on automatic control and intelligent systems (i2cacis 2021).  369-373. 

     

    shaheer ansari, afida ayob, ms hossain lipu, mohamad hanif md saad, aini hussain,.  (2021).  a comparative analysis of lithium ion battery input profiles for remaining useful life prediction by cascade forward neural network.  - 2021 ieee world ai iot congress (aiiot).  181-186. 

     

    k. a. alaghbari, m. hanif md saad, a. hussain, r. a. othman and m. raisul alam.  (2021).  a comparison of sequential prediction algorithms in iot enabled smart environments.  - 2021 ieee 12th control and system graduate research colloquium (icsgrc).  1-7. 

     

    marizuana m. daud, w. mimi diyana w. zaki , aini hussain, haliza mutalib, m. hanif md saad, aishah razak.  (2020).  automated corneal segmentation of anterior segment photographed images using centroid-based active contour model.  - 16th international learning & technology conference 2019.  330-337. 

     

    shafrida sahrani, dyg norkhairunnisa abang zaidel, mohamad hanif md saad.  (2023).  rampai kenyalang: peradaban masyarakat islam sarawak.  - 19. 

     

    rabiah adawiyah shahad, mohamad hanif md saad, aini hussain.  (2021).  bitara: sistem bangunan pintar mesra tenaga.  - 180. 

     

    mohd fadzil abu hassan, aini hussain, mohd hanif md saad.  (2020).  fitur poligon: pengawasan aksi insan berasaskan video pintar.  - 169. 

     

    w mimi diyana w zaki, siti raihanah abdani, aini hussain, haliza abdul mutalib & mohd hanif md saad.  (2018).  pemprosesan imej digital untuk analisis penyakit mata berkomputer.  - 23. 

     

    win kong, aini hussain & mohamed hanif md saad.  (2016).  two and three dimensional human gait modelling.  - 230. 

     

    shafrida sahrani, dyg norkhairunnisa abang zaidel, mohamad hanif md saad.  (2023).  rampai kenyalang: peradaban masyarakat islam sarawak.  - 19. 

     

    w mimi diyana w zaki, siti raihanah abdani, aini hussain, haliza abdul mutalib & mohd hanif md saad.  (2018).  pemprosesan imej digital untuk analisis penyakit mata berkomputer.  - 23. 

     

    rabiah adawiyah shahad, mohamad hanif md saad, aini hussain.  (2021).  bitara: sistem bangunan pintar mesra tenaga.  - 180. 

     

    mohd fadzil abu hassan, aini hussain, mohd hanif md saad.  (2020).  fitur poligon: pengawasan aksi insan berasaskan video pintar.  - 169. 

     

    win kong, aini hussain & mohamad hanif md saad.  (2016).  two and three dimensional human gait modeling.  - 230. 

     

    win kong, aini hussain & mohamed hanif md saad.  (2016).  two and three dimensional human gait modelling.  - 230. 

     

    shafrida binti sahrani @ shahran;mohamad hanif bin md saad;sharizal bin hashim.  (2024).  internet of things (iot)-enabled smart agri-food framework for sarawak gula apong.  -

     

    mohamad hanif bin md saad;aini binti hussain.  (2023).  bitara : energy efficient intelligent building system.  -

     

    mohamad taha ijab, mohamad hanif md saad, aini hussain, norshita mat nayan.  (2023).  the feasible adoption of iot in malaysian palm oil mill operations.  - majalah scitech.  1-2. 

     

    mohamad taha bin ijab;mohamad hanif bin md saad;norshita binti mat nayan;ely salwana binti mat surin.  (2023).  pembangunan model kesediaan terhadap revolusi industri ke-4 (ir4.0) di kalangan industri di malaysia / development of readiness model towards industrial revolution (ir4.0) among malaysian industries.  -

     

    chaw jun kit;mohamad hanif bin md saad;rizauddin bin ramli.  (2023).  aiot developer innoworks program.  -