Bassma Guermah | Data Science | Excellence in Research

Mrs. Bassma Guermah | Data Science | Excellence in Research

Professor researcher, UniversitΓ© Internationale de Rabat, Morocco

Bassma Guermah is an Assistant Professor at the International University of Rabat, specializing in computer science. She earned her PhD in Computer Science from the National Institute of Posts and Telecommunications (INPT) in 2018. With extensive teaching experience at multiple institutions, she has contributed to research in fields such as deep learning, spatio-temporal forecasting, and air pollution monitoring. Bassma has published in high-impact journals, including IEEE Access. She’s actively involved in projects like OptEV and i-RESPIRE, and serves as the Deputy General Secretary of AMAN Association. Her dedication to education is evident in her roles as coordinator and club referent at UIR. πŸ“šπŸŒπŸŒ±

Publication Profile

Orcid

Education

Mrs. Bassma Guermah holds a PhD in Computer Science from the National Institute of Posts and Telecommunications (INPT), awarded in 2018. She also earned an Engineering degree in Computer Science from the National Institute of Statistics and Applied Economics (INSEA) in 2014. Her academic background reflects a strong foundation in both theoretical and practical aspects of computer science, laying the groundwork for her successful academic and professional career. With a focus on innovation and research, Bassma continues to contribute to the fields of technology and data science. πŸ”πŸ’»

Academic Experience

Mrs. Bassma Guermah has a rich academic experience spanning various prestigious institutions. Since 2019, she has served as an Assistant Professor at the International University of Rabat, contributing to the academic growth of students. Prior to this, she was a Temporary Teacher at both the National Institute of Statistics and Applied Economics (INSEA) from 2016 to 2019 and the International University of Rabat from 2015 to 2019. Additionally, she taught at the National Institute of Posts and Telecommunications (INPT) from 2014 to 2015. Her dedication to education and research continues to inspire her students. πŸ“šπŸ‘©β€πŸ«

Non-Academic Experience

Mrs. Bassma Guermah has gained valuable non-academic experience during her career. She worked as a Postdoctoral Researcher at the International University of Rabat, where she developed a Web Geographic Information System to visualize air pollution in Morocco, particularly in Rabat-Sale and Temara. Her tenure lasted from March 2019 to January 2021. Additionally, she worked as a Freelancer Consultant at DigiUP from 2016 to 2019, where she was involved in creating IT solutions, from the modeling phase to the implementation of systems. πŸ’»πŸŒ±

Honors and Awards

In recognition of her exceptional academic achievements, Mrs. Bassma Guermah was honored with the prestigious “Best End-of-Study Project Award” by the Popular Bank in 2015. This award highlighted her outstanding work and dedication during her studies, marking a significant milestone in her academic journey. The recognition not only affirmed her expertise but also underscored her potential to contribute meaningfully to the field of computer science. This award continues to inspire her pursuit of excellence in both academic and professional endeavors. πŸŽ‰πŸ’‘

Research Focus

Mrs. Bassma Guermah’s research primarily focuses on computer science, machine learning, GNSS (Global Navigation Satellite Systems), and context-aware systems. She has contributed to urban air pollution monitoring systems, vehicle localization in challenging environments, and chronic kidney disease prediction using context ontology and support vector machines (SVM). Her work also explores signal classification and multipath error estimation for GNSS positioning in urban areas. Additionally, she investigates the integration of machine learning with context-aware systems for improved data analysis and decision-making in various applications. πŸŒπŸ“ŠπŸ”

Publication Top Notes

  • How can reasoning improve ontology-based context-aware system? (2020) | Cited by: 20+ πŸ“š
  • Moreair: A low-cost urban air pollution monitoring system (2020) | Cited by: 15+ 🌍
  • A Robust GNSS LOS/Multipath Signal Classifier based on the Fusion of Information and Machine Learning for Intelligent Transportation Systems (2018) | Cited by: 10+ πŸš—
  • GNSS Positioning Enhancement Based on NLOS Multipath Biases Estimation Using Gaussian Mixture Noise (2018) | Cited by: 8+ πŸ“‘
  • Improving vehicle localization in hard environments using GNSS-GSM hybridization and Gaussian mixture noise (2018) | Cited by: 7+ πŸš™
  • Support vector machines for improving vehicle localization in urban canyons (2018) | Cited by: 12+ πŸ™οΈ
  • Using context ontology and linear SVM for chronic kidney disease prediction (2018) | Cited by: 5+ 🧠
  • A comparative performance analysis of position estimation algorithms for GNSS localization in urban areas (2017) | Cited by: 9+ 🌐
  • A map-matching based approach to compute and modelize NLOS and multipath errors for GNSS positioning in hard areas (2017) | Cited by: 6+ πŸ“Š
  • Fuzzy logic approach for GNSS signal classification using RHCP And LHCP antennas (2017) | Cited by: 4+ πŸ“

Mohammad Ashaduzzaman khan | Energy storage | Best Researcher Award

Mr. Mohammad Ashaduzzaman khan | Energy storage | Best Researcher Award

Research specialist, V-Trion textile research GmBH, Austria

Mr. Mohammad Ashaduzzamankhan is a Materials Scientist at V-Trion Textile Research GmbH, Austria, specializing in nanomaterials for batteries, supercapacitors, and biosensors. With a Ph.D. in solid-state lithium-ion batteries (Technical University of Freiberg), he has a Master’s in Advanced Materials from the Technical University of Darmstadt and University of Bordeaux. His work includes developing flexible supercapacitors, modifying nanomaterials, and fabricating textile-based electrodes. His research has been presented at the Smart Materials 2022 conference. Skilled in IR, XRD, and SEM, he is fluent in English and proficient in German and French. πŸ”‹βš‘πŸ§ͺπŸ§‘β€πŸ”¬

Publication Profile

Google Scholar

Work Experience

Since May 2021, Mr. Mohammad Ashaduzzamankhan has been working as a Research Specialist (Materials Engineer) at V-Trion Textile Research GmbH in Austria. He focuses on the development and fabrication of solid-state batteries, including the synthesis of cathode and anode materials, preparing slurries, and fabricating textile-based electrodes. Additionally, he works on flexible supercapacitors, modifying nanomaterials like reduced graphene oxide and manganese dioxide. His role also includes designing flexible biosensors, preparing sensitive nanomaterials, and utilizing advanced characterization techniques such as IR, XRD, SEM, and XPS. πŸ”‹βš‘πŸ§ͺ

Education

Mr. Mohammad Ashaduzzamankhan is currently pursuing a Ph.D. in Solid State Lithium-Ion Batteries at the Technical University of Freiberg (Germany), starting in September 2024. He completed his M.Sc. in Advanced Materials Innovative Recycling (AMIR) from the Technical University of Darmstadt (Germany) and University of Bordeaux (France) in 2020, with a thesis on graphene-PMMA composites for gas sensors. Earlier, he earned an M.Sc. in Physical Chemistry and a B.Sc. in Chemistry from the University of Rajshahi (Bangladesh). πŸŽ“πŸ”‹πŸ§ͺ

Research Focus

Mr. Mohammad Ashaduzzamankhan’s research primarily revolves around smart textiles, energy storage systems, and biosensors. His work explores nanocomposites for wearable electronics, including smart-textile sensors for human health monitoring, energy harvesting, and vital sign detection. He focuses on developing piezoelectric and triboelectric textiles for self-powered devices and supercapacitors for wearable energy storage. Additionally, his research includes advanced nanomaterials for sensors and high-rate supercapacitors. His contributions are pivotal in flexible electronics and healthcare technology applications. πŸ§΅πŸ”‹πŸ“±πŸ’‘

Publication Top Notes

  • “Modified graphene-based nanocomposite material for smart textile biosensor to detect lactate from human sweat” – Cited by 46, 2021 πŸ“˜πŸ”¬
  • “Smart-textile strain sensor for human joint monitoring” – Cited by 34, 2022 πŸ¦΅πŸ‘—
  • “A review on advanced nanocomposites materials based smart textile biosensor for healthcare monitoring from human sweat” – Cited by 29, 2023 🩺🧡
  • “A piezoelectric smart textile for energy harvesting and wearable self-powered sensors” – Cited by 27, 2022 ⚑🧀
  • “Wearable socks with single electrode triboelectric textile sensors for monitoring footsteps” – Cited by 21, 2021 πŸ‘£πŸ§¦
  • “Smart-textile supercapacitor for wearable energy storage system” – Cited by 18, 2023 πŸ”‹πŸ§΅
  • “Roll to roll triboelectric fiber manufacturing for smart-textile self-powered sensor and harvester” – Cited by 17, 2023 πŸ”„βš™οΈ
  • “Autonomous Triboelectric Smart Textile Sensor for Vital Sign Monitoring” – Cited by 6, 2024 πŸ’“πŸ“Š
  • “Industrially Scalable Piezoresistive Smart-Textile Sensor for Flexible Electronics Application” – Cited by 5, 2023 πŸ§‘β€πŸ”¬πŸ’‘
  • “Textile geometry associated with advanced nanomaterials for high rate supercapacitors” – Cited by 5, 2023 πŸ’ πŸ”‹

 

Njemuwa Nwaji | Energy Storage Award | Excellence in Research

Dr. Njemuwa Nwaji | Energy Storage Award | Excellence in Research

Dr. Njemuwa Nwaji, Institute of Fundamental Technological Research, Polish Academy of Science, Poland

Dr. Njemuwa Nwaji is a distinguished chemist with a Ph.D. in Chemistry from Rhodes University, South Africa (2016-2018, awarded April 2019) πŸ§ͺ. She earned her M.Sc. in Organic Chemistry from the University of Central Lancashire, UK (2012-2013, awarded March 2014) 🏴, and her B.Tech. in Industrial Chemistry from the Federal University of Technology, Owerri, Nigeria (2002-2006, awarded October 2006) 🌍. Dr. Nwaji is proficient in various operating systems and software, including Windows and Mac OS, with expertise in vector graphics and photo editing πŸ–₯️. She is fluent in English and Igbo, with basic knowledge of Korean πŸ‡°πŸ‡·.

 

Publication Profile

Google Scholar

πŸŽ“ Education and Degrees Awarded

Dr. Njemuwa Nwaji holds a Ph.D. in Chemistry from Rhodes University, South Africa, completed between 2016 and 2018, and awarded in April 2019 πŸ§ͺ. She earned her M.Sc. in Organic Chemistry from the University of Central Lancashire, UK, from 2012 to 2013, awarded in March 2014 🏴. She also has a B.Tech. in Industrial Chemistry from the Federal University of Technology, Owerri, Nigeria, completed from 2002 to 2006, and awarded in October 2006 🌍.

πŸ§‘β€πŸ« Teaching Experiences

Dr. Njemuwa Nwaji served as a Graduate Teaching Assistant at Rhodes University, South Africa, from June 2016 to May 2018. During this time, she contributed significantly to teaching various chemistry courses. For CHE 101 and CHE 102 (General Chemistry), she was part of a team teaching 150 students from diverse backgrounds. She developed practice quizzes and assignments tailored to the course content. In CHE 113, she taught and demonstrated practical experiments for undergraduate students, focusing on organic chemistry lab techniques. Additionally, for CHE 201, she was involved in team teaching a class of 85 students, where she developed and taught topics in spectroscopic methods, and created related quizzes and assignments.

Research Focus

Dr. Njemuwa Nwaji’s research primarily centers on the synthesis and characterization of advanced nanomaterials and their applications in various scientific fields πŸ§ͺ. She has contributed extensively to the development of nanostructures, including biogenic zinc oxide nanoflowers, and their use in photodegradation and as tyrosinase inhibitors . Her work involves exploring the photophysical and nonlinear optical properties of phthalocyanines and their derivatives, particularly in solutions, thin films, and when conjugated to nanoparticles 🌟. Dr. Nwaji also investigates the potential of these materials for photodynamic therapy and photocatalytic wastewater treatment, highlighting her commitment to sustainable and innovative technological solutions 🌍 .

Publication Top Notes

Green synthesis of biogenic zinc oxide nanoflower as dual agent for photodegradation of an organic dye and tyrosinase inhibitor

Corrosion resistance of aluminum against acid activation: Impact of benzothiazole-substituted gallium phthalocyanine

Improved nonlinear optical behaviour of ball type indium (III) phthalocyanine linked to glutathione capped nanoparticles

Low symmetric metallophthalocyanine modified electrode via click chemistry for simultaneous detection of heavy metals

Glycosylated zinc phthalocyanine-gold nanoparticle conjugates for photodynamic therapy: Effect of nanoparticle shape

Photophysicochemical properties and photodynamic therapy activity of chloroindium (III) tetraarylporphyrins and their gold nanoparticle conjugates

Investigation of photophysicochemical properties of zinc phthalocyanines conjugated to metallic nanoparticles

Nonlinear optical dynamics of benzothiazole derivatized phthalocyanines in solution, thin films and when conjugated to nanoparticles

Synthesis, photophysical and nonlinear optical properties of a series of ball-type phthalocyanines in solution and thin films

Synthesis, photophysical and nonlinear optical properties of a series of ball-type phthalocyanines in solution and thin films