Semen Gunjo | Statistics | Editorial Board member

Mr. Semen Gunjo | Statistics | Editorial Board member

Mr. Semen Gunjo at DMISS(Data management and Information Support Service), Ethiopia

👨‍🎓 Profile

SEMEN BEKELE GUNJO

EARLY ACADEMIC PURSUITS

Semen Bekele Gunjo’s academic journey began with a solid foundation in STATISTICS and ACCOUNTING. He earned his BSc in Statistics from Addis Ababa University (1998-2001) and a Master’s Degree in Statistics (2006-2008). He also completed a BA in Accounting at Rift Valley University (2016-2018) and a Master’s Degree in Economics (2013-2015).

PROFESSIONAL ENDEAVORS

With over 20 YEARS of experience, Semen has specialized in DATA QUALITY ANALYSIS and PROJECT MANAGEMENT across sectors such as EDUCATION, HEALTH, WATER, and AGRICULTURE. He has successfully led consultancy projects and served as a TEAM LEADER for various assignments, focusing on management information systems and statistical frameworks.

CONTRIBUTIONS AND RESEARCH FOCUS

Semen’s contributions include developing frameworks for effective DATA MANAGEMENT and ANALYSIS. His involvement in KEY INDICATOR VERIFICATION and DATA QUALITY ASSESSMENTS has significantly enhanced monitoring and evaluation practices. Currently, he is pursuing a PhD in DEVELOPMENTAL STUDIES with a focus on DEVELOPMENT AND ENVIRONMENT.

IMPACT AND INFLUENCE

Semen’s work has improved DATA QUALITY and management systems within Ethiopian sectors, leading to better decision-making processes. His leadership in consultancy roles has influenced POLICIES related to accountability and data integrity in governmental operations.

ACADEMIC CITATIONS

His academic contributions include various WORKING PAPERS and presentations, such as the seminar on GLASS CONTAINER PRODUCTION in Ethiopia (2023), highlighting his engagement in ACADEMIC DISCOURSE.

LEGACY AND FUTURE CONTRIBUTIONS

Semen aims to leave a legacy of enhanced DATA INTEGRITY and robust analytical frameworks. His ongoing research is set to provide insights into the relationship between DEVELOPMENT and ENVIRONMENTAL SUSTAINABILITY. He is committed to mentoring future professionals in data management and policy analysis.

📖  Top Noted Publications
Modeling the Economic Cost of Congestion in Addis Ababa City, Ethiopia
  • Authors: Gunjo, S.B., Guta, D.D., Damene, S.
    Journal: Environmental Systems Research
    Year: 2024
The Perception of Drivers and Passengers on the Socio-Economic Impacts of Traffic Congestion in Addis Ababa, Ethiopia
  • Authors: Gunjo, S.B., Guta, D.D., Damene, S.
    Journal: Urban, Planning and Transport Research
    Year: 2024

Dr. Marta Campi | Statistical Methods | Best Researcher Award

Dr. Marta Campi, Statistical Methods, Best Researcher Award 

Doctareat at Institut Pasteur, France

Professional Profile:

Scopus Profile 
Google Scholar Profile
Orcid Profile

Summary:

Dr. Marta Campi is a Postdoctoral Researcher at Institut Pasteur with expertise in Statistical Signal Processing and Machine Learning. She specializes in developing computational optimal speech enhancement techniques for real-time application in hearing aids, particularly tailored for individuals with auditory neuropathies. Her research integrates personalized cues into model calibration for improved efficacy. With a background in financial computing and econometrics, Marta brings a diverse skill set to her research endeavors.

Education:

  • PhD in Statistical Science and Signal Processing, University College London, UK
  • MPhil in Statistics, University College London, UK
  • MRes in Financial Computing, University College London, UK
  • MSc in Financial Econometrics, University of Essex, UK
  • BSc in Mathematical Statistics and Data Management, Universita degli studi di Genova, Italy

Professional Experience:

Dr. Marta Campi has amassed a diverse and extensive professional background, spanning various research, academic, and industry roles across multiple countries. As a Postdoctoral Researcher at Institut Pasteur in Paris, France, she focuses on advancing signal processing techniques for auditory applications, particularly in the development of computational optimal speech enhancement methods for hearing aids. Marta’s expertise extends to her role as a Research Engineer at Telecom Paris, where she contributed to implementing machine learning geolocation methods for wireless device networks.

Her dedication to education is evident through her tenure as a Teaching Assistant at University College London, where she tutored courses in probability, statistics, and programming methods. Marta has also lent her expertise as a Research Assistant at Heriot-Watt University in Edinburgh, Scotland, and City University of London, enriching projects in green finance and copula functions within insurance applications, respectively.

She broadened her research horizons through international collaborations, serving as a Visiting Research Fellow at the Institute of Statistical Mathematics in Tokyo, Japan, and a Visiting Research Student at Universite Clermont Auvergne in Clermont-Ferrand, France. Marta’s industry experience includes roles as a Senior Analyst at Fortlake Asset Management in Sydney, Australia, and as a Consultant at InRobin in Edinburgh, UK, where she contributed to predictive modeling and asset maintenance monitoring.

Her earlier experience as a Junior Analyst at COSTA CROCIERE S.P.A in Genova, Italy, further enriched her analytical skills and understanding of demand forecasting and price optimization. Throughout her career, Marta has demonstrated a commitment to interdisciplinary research and innovation, bridging the gap between academia and industry to address complex challenges in statistical signal processing and machine learning.

Research Interest :

Dr. Campi’s research interests span statistical signal processing, machine learning, and auditory neuroscience, with a focus on developing innovative solutions for speech enhancement in hearing aids. She is particularly interested in leveraging personalized cues and novel signal processing techniques to address auditory neuropathies and improve the quality of life for individuals with hearing impairments. Marta’s interdisciplinary approach combines her expertise in statistical science with real-world applications, aiming to bridge the gap between cutting-edge research and clinical practice in audiology.

Publication Top Noted:

Tova Michalsky – Statistical Methods – International Insightful Analytics Achievement Award 

Assoc Prof Dr. Tova Michalsky - Statistical Methods - International Insightful Analytics Achievement Award 

Bar-Ilan University - Israel 

Author Profile 

Early Academic Pursuits

Assoc Prof Dr . Tova Michalsky began her academic journey at Bar-Ilan University, earning her Bachelor's degree in Biology in 1977. She continued her studies at the same institution, completing her Master's degree with honors in Biology in 1979. Later, in 2003, she achieved her PhD in Science Education from Bar-Ilan University, focusing on the effects of Self-Regulated Learning (SRL) guidance in asynchronous learning networks on inquiry learning processes.

Professional Endeavors

Assoc Prof Dr . Michalsky's academic career at Bar-Ilan University spans over two decades, showcasing her dedication to education. She started as a Teaching Assistant in 2000 and gradually climbed the academic ranks, becoming an Instructor in 2007, a Lecturer in 2010, a Senior Lecturer from 2014 to 2019, and ultimately an Associate Professor in 2020.

Her commitment to education also extended beyond Bar-Ilan University. From 1997 to 2000, she served as an Instructor at the Open University Israel in the Department of Education and Psychology.

Contributions and Research Focus

Assoc Prof Dr . Michalsky's extensive research focuses on three main areas: the development of students' self-regulated learning, the promotion of teachers' pedagogical knowledge to effectively teach self-regulation, and the design of comprehensive assessments to measure both teachers' and students' self-regulated learning processes.

Her numerous research projects have received competitive grants, with a recent one from the European Association for Research on Learning and Instruction (EARLI) for STEM teachers' capacity to teach self-regulated learning using extended reality.

Accolades and Recognition

Throughout her career, Dr. Michalsky has received several awards and honors, including the Head of the School of Education's Award for Program Enrollee Growth in 2017 and the Rector's Teaching Award in 2012 and 2010. She has consistently been recognized for her excellence in teaching and contributions to Education'.

Impact and Influence

Assoc Prof Dr . Michalsky's impact is evident in her supervision of numerous graduate and post-doctoral students, each contributing to research in Education' Her work has influenced the field, particularly in the development of self-regulated learning and the integration of technology in Education'.

Legacy and Future Contributions

With a wealth of experience, an impressive list of supervised students, and a robust research portfolio, Assoc Prof Dr . Tova Michalsky continues to shape the landscape of Education'. Her dedication to fostering self-regulated learning and promoting effective teaching methods ensures a lasting legacy in the field of Education'. As she continues to lead research projects and contribute to scientific discourse, her influence will likely endure for years to come.

Notable  Publications