Gadissa Tokuma Gindaba | Statistical Methods | Best Researcher Award

Mr. Gadissa Tokuma Gindaba | Statistical Methods | Best Researcher Award

Haramaya University | Ethiopia

PUBLICATION PROFILE

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Mr. Gadissa Tokuma Gindaba

🎓 Chemical Engineering Lecturer & Researcher | Haramaya University

Professional Summary

A dynamic, motivated, and highly productive chemical engineering graduate with advanced research expertise and analytical skills. Mr. Gadissa is passionate about advancing research in various fields, including water and wastewater treatment, green chemistry, alternative energy sources, carbon capture, and biopesticides. With a drive to solve critical societal challenges, he aims to make a positive impact through innovative engineering solutions. His goal is to contribute as a researcher and academician in addressing complex engineering problems.

Education

🎓 M.Sc. in Chemical Engineering (Process Engineering)
Jimma University | Awarded: February 2021
CGPA: 3.89/4
Thesis: Green Synthesis, Characterization, and Application of Metal Oxide Nanoparticles for Mercury Removal from Aqueous Solution
Supervisor: Dr. Eng. Hundessa Dessalegn Demsash

🎓 B.Sc. in Chemical Engineering

Jimma University | Awarded: July 2017
CGPA: 3.65/4
Thesis: Extraction and Characterization of Natural Protein (Keratin) From Waste Chicken Feather
Supervisor: Mr. Samuel Gesesse Filate

Research Interests

💧 Water & Wastewater Treatment
🔬 Emerging Contaminants
⚗️ Advanced Oxidation Processes
🌱 Development of Alternative Energy Sources
🌍 Sustainable Packaging & Construction
🧪 Green Chemistry & Nanotechnology
💡 Catalysis & Reactions
🔬 Process Development for Bio-based Materials
🌱 Carbon Capture & Utilization

Research Experience

🧪 Synthesis & Characterization of Nanomaterials: Developed and characterized metal oxide nanoparticles via green protocols for mercury removal.
🧑‍🔬 Water Treatment Studies: Investigated Fenton-oxidation reactions for pesticide residue removal.
🔬 Material Analysis: Analyzed synthesized nanomaterials using FTIR, SEM, XRD, and TGA techniques.
📊 Statistical Analysis: Optimized parameters for heavy metal removal using Design Expert software (RSM with CCD).
🌱 Alternative Energy: Produced and optimized bioethanol from waste potato and explored renewable energy production from waste biomasses.
🌿 Biopesticides: Developed bioinsecticides from plant extracts like Vernonia amygdalina and Ricinus communis for crop protection.
💉 Chemical Analysis: Used HPLC to investigate and quantify organophosphate pesticide residues.
📝 Grant Writing & Publication: Contributed to grant writing and publishing research in peer-reviewed journals.
♻️ Waste Material Utilization: Extracted and characterized keratin from waste chicken feathers.

Work Experience

👨‍🏫 Chemical Engineering Lecturer
Haramaya University | March 2021 – Present & October 2017 – September 2018

  • Taught and presented courses including Process Dynamics, Control, Reaction Engineering, Thermodynamics, Energy Audit, and more.

  • Supervised and mentored undergraduate and graduate students on thesis projects.

  • Delivered tutorials and practical sessions for Chemical Engineering students.

  • Prepared course materials, graded exams, and evaluated student performance.

Mr. Gadissa’s expertise and passion for research in sustainable technologies and chemical engineering drive his dedication to making meaningful contributions to science and society.

📚 TOP NOTES PUBLICATIONS 

Statistical analysis and optimization of mercury removal from aqueous solution onto green synthesized magnetite nanoparticle using central composite design

Biomass Conversion and Biorefinery
2025-02 | Journal article
Contributors: Gadissa Tokuma Gindaba; Hundessa Dessalegn Demsash

Source:check_circle

Crossref

Optimization of fermentation condition in bioethanol production from waste potato and product characterization

Biomass Conversion and Biorefinery
2024-02 | Journal article
Contributors: Getachew Alemu Tenkolu; Kumsa Delessa Kuffi; Gadissa Tokuma Gindaba

Source:check_circle

Crossref

RSM‐, ANN‐, and GA‐Based Process Optimization for Acid Centrifugation Treatment of Cane Molasses Toward Mitigating Calcium Oxide Fouling in Ethanol Plant Heat Exchanger

International Journal of Chemical Engineering
2024-01 | Journal article
Contributors: Lata Deso Abo; Sintayehu Mekuria Hailegiorgis; Mani Jayakumar; Sundramurthy Venkatesa Prabhu; Gadissa Tokuma Gindaba; Abas Siraj Hamda; B. S. Naveen Prasad; Maksim Mezhericher

Source:check_circle

Crossref

Bioethanol production from agricultural residues as lignocellulosic biomass feedstock’s waste valorization approach: A comprehensive review

Science of The Total Environment
2023-06-25 | Review
Part of ISSN: 0048-9697
Contributors: Mani Jayakumar; Gadissa Tokuma Gindaba; Kaleab Bizuneh Gebeyehu; Selvakumar Periyasamy; Abdisa Jabesa; Gurunathan Baskar; Beula Isabel John; Arivalagan Pugazhendhi

Source:Self-asserted source

Gadissa Tokuma Gindaba

Green synthesis, characterization, and application of metal oxide nanoparticles for mercury removal from aqueous solution

Environmental Monitoring and Assessment
2023-01 | Journal article
Contributors: Gadissa Tokuma Gindaba; Hundessa Dessalegn Demsash; Mani Jayakumar

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: