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20.03.1994
+372 53956597
abdul.saboor@taltech.ee
Abdul Saboor received the MS degree in Information Technology (IT) from the School of Electrical Engineering and Computer Science, National University ofSciences and Technology, Pakistan, 2018. He has also received the BS degree in Software Engineering (SE) from the same institute in 2015. During MS, his research aims Wireless Body Area Networks (WBANSs), Sensor Networks (SNs), Software Defined Networks (SDNs), and ETSIsmartBANs. He also served as a Team Lead in the National Technolgy Funded Research & Development (R&D) project for one year. Currently,  he is working at Thomas Johann Seebeck Department of Electronics, School of Information Technology, Tallinn University of Technology. His latest domain of research is the Development and Exploitation of a Smart Wearable-Assistive Neuromuscular Stimulation System Using Data Analytics.  

Career

Institutions and positions
01.09.2019–...   
Tallinn University of Technology , School of Information Technologies, Thomas Johann Seebeck Department of Electronics, Researcher (1,00)
2016–...   
NUST School of Electrical Engineering and Computer Science, Researcher (1,00)
 
 
Education
07.09.2015–05.09.2018   
Master's in Information Technology
12.09.2011–19.06.2015   
Bachelors in Software Engineering
 
 
R&D related managerial and administrative work
2018−2019   
Team Lead in Government Funded R&D Project
2016−2017   
Appointed as a Lead in NUST Internet Committee
 
 
Additional information
Founded a tech-based Startup named Aloo Clan to empower the youth of Pakistan.

Qualifications

 
 
Honours & awards
2019, Abdul Saboor, Abdul Saboor presented the paper titled "Evolution of Wireless Standards for Health Monitoring" in the 9th Information Technology, Electromechanical and Microelectronics Conference (IEMECON 2019) at Jaipur, India
2018, Abdul Saboor, Abdul Saboor presented the paper titled "A Unique Backoff Algorithm in IEEE 802.15.6 WBAN" in 88th IEEE Vehicular Technology Conference at Chicago, USA.
2015, Abdul Saboor, Acted as a mentor for young entrepreneurs at CREATE15’ held in Pakistan Institute of Engineering & Applied Sciences (PIEAS).
2014, Abdul Saboor, The startup got featured in Punjab information and technology board-plan9’s blog and recognized as one of the leading startups.
 
 
Fields of research
ETIS CLASSIFICATION: 4. Natural Sciences and Engineering; 4.7. Telecommunications; CERCS CLASSIFICATION: T181 Remote sensing
ETIS CLASSIFICATION: 4. Natural Sciences and Engineering; 4.6. Computer Sciences; CERCS CLASSIFICATION: P170 Computer science, numerical analysis, systems, control

Publications

13.07.2020
20.03.1994
+372 53956597
abdul.saboor@taltech.ee

Teenistuskäik

Töökohad ja ametid
01.09.2019–...   
Tallinna Tehnikaülikool, Infotehnoloogia teaduskond, Thomas Johann Seebecki elektroonikainstituut, Teadur (1,00)
2016–...   
NUST School of Electrical Engineering and Computer Science, Teadur (1,00)
 
 
Haridustee
07.09.2015–05.09.2018   
Infotehnoloogia magistriõpe
12.09.2011–19.06.2015   
Bakalaureused tarkvaraehituses
 
 
Teadusorganisatsiooniline ja -administratiivne tegevus
2018−2019   
Meeskonna juht valitsuse rahastatud teadus- ja arendusprojektis
2016−2017   
NUST Internetikomitee juhiks nimetatud
 
 
Lisainfo
Asutas Pakistani noorte võimustamiseks tehnopõhise Startupi nimega Aloo Clan.

Kvalifikatsioon

 
 
Teaduspreemiad ja tunnustused
2019, Abdul Saboor, Abdul Saboor esitas Indias Jaipuris 9. infotehnoloogia, elektromehaanika ja mikroelektroonika konverentsil (IEMECON 2019) paberi pealkirjaga "Tervisekontrolli juhtmevabade standardite areng".
2018, Abdul Saboor, Abdul Saboor esitas USA-s Chicagos 88. IEEE sõidukitehnoloogia konverentsil paberi pealkirjaga „Ainulaadne tagasilöögialgoritm IEEE 802.15.6 WBAN-is”.
2015, Abdul Saboor, egutses noorte ettevõtjate mentorina CREATE15 '-l Pakistani inseneri- ja rakendusteaduste instituudis (PIEAS).
2014, Abdul Saboor, Startup ilmus Punjabi teabe- ja tehnoloogialaua-plan9 ajaveebis ning tunnistati üheks juhtivaks idufirmaks.
 
 
Teadustöö põhisuunad
ETIS KLASSIFIKAATOR: 4. Loodusteadused ja tehnika; 4.7. Info- ja kommunikatsioonitehnoloogia; CERCS KLASSIFIKAATOR: T181 Kaugseire
ETIS KLASSIFIKAATOR: 4. Loodusteadused ja tehnika; 4.6. Arvutiteadused; CERCS KLASSIFIKAATOR: P170 Arvutiteadus, arvutusmeetodid, süsteemid, juhtimine (automaatjuhtimisteooria)

Publikatsioonid

13.07.2020

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ProgramTypeNumberNameProject startProject endPrincipal investigatorInstitutionFinancing
PRGPRG424 Closed-loop communication system to support highly responsive neuromuscular assistive stimulation01.01.201931.12.2023Muhammad Mahtab AlamTallinn University of Technology , School of Information Technologies, Thomas Johann Seebeck Department of Electronics509 000,00 EUR