Congratulations for this nice journal publication.

-COVID19 DATA ANALYSIS

Please show your congratulations to Mohammad.

- Title : A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties  ​​​

- Mohammad Moosazadeh, Pouya Ifaei, Amir Saman Tayerani Charmchi , Somayeh Asadi,  and ChangKyoo Yoo^*, A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties, Sustainable Cities and Society(ISSN: 2210-6707, SCI, Top 3% journal –Construction and Building), Elsevier, 83(8), pp.103990 (2022.8)  (NRF중견2021R1A2C2007838  & Graduate School specialized in Climate Change)

Mohammad Moosazadeh 박사과정 학생 첫 논문이 Sustainable Cities and Society 저널 (SCI, IF=7.5, , Top 10% journal – Construction and Building)​에 게재 승인 되었습니다 (공동저자 : Dr. Pouya and Saman박사과정, 퍼듀대학교 Asadi교수).

- 연구주제 : [Socio-economic 데이타 해석-CIVID19​] 미국 Socio-economic Data기반 기계학습을 이용한 지역별 COVID-19  spatio-temporal 취약성 평가

Mohammad Moosazadeh 학생이 EMSEL 조인 후 첫 논문으로 Top 3% 저널 논문 게재 축하합니다. 

계속해서 2, 3, 4번쨰 논문 준비 중으로 올해 계속 좋은 실적을 기대합니다...