Gadissa Tokuma Gindaba | Statistical Methods | Best Researcher Award

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

Haramaya University | Ethiopia

PUBLICATION PROFILE

Orcid

Mr. Gadissa Tokuma Gindaba

πŸŽ“ 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

πŸŽ“ 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

πŸŽ“ 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

πŸ’§ Water & Wastewater Treatment
πŸ”¬ Emerging Contaminants
βš—οΈ Advanced Oxidation Processes
🌱 Development of Alternative Energy Sources
🌍 Sustainable Packaging & Construction
πŸ§ͺ Green Chemistry & Nanotechnology
πŸ’‘ Catalysis & Reactions
πŸ”¬ Process Development for Bio-based Materials
🌱 Carbon Capture & Utilization

Research Experience

πŸ§ͺ Synthesis & Characterization of Nanomaterials: Developed and characterized metal oxide nanoparticles via green protocols for mercury removal.
πŸ§‘β€πŸ”¬ Water Treatment Studies: Investigated Fenton-oxidation reactions for pesticide residue removal.
πŸ”¬ Material Analysis: Analyzed synthesized nanomaterials using FTIR, SEM, XRD, and TGA techniques.
πŸ“Š 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.
πŸ’‰ Chemical Analysis: Used HPLC to investigate and quantify organophosphate pesticide residues.
πŸ“ 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

πŸ‘¨β€πŸ« 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.

πŸ“šΒ TOP NOTES PUBLICATIONSΒ 

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 |Β Journal article
Contributors:Β Gadissa Tokuma Gindaba;Β 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 |Β Journal article
Contributors:Β Getachew Alemu Tenkolu;Β Kumsa Delessa Kuffi;Β 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 |Β Journal article
Contributors:Β Lata Deso Abo;Β Sintayehu Mekuria Hailegiorgis;Β Mani Jayakumar;Β Sundramurthy Venkatesa Prabhu;Β Gadissa Tokuma Gindaba;Β Abas Siraj Hamda;Β B. S. Naveen Prasad;Β 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 |Β Review
Part ofΒ ISSN:Β 0048-9697
Contributors:Β Mani Jayakumar;Β Gadissa Tokuma Gindaba;Β Kaleab Bizuneh Gebeyehu;Β Selvakumar Periyasamy;Β Abdisa Jabesa;Β Gurunathan Baskar;Β Beula Isabel John;Β 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 |Β Journal article
Contributors:Β Gadissa Tokuma Gindaba;Β Hundessa Dessalegn Demsash;Β Mani Jayakumar

Feng Hu | Multi-modal feature recognition | Best Researcher Award

Assoc Prof Dr. Feng Hu l Multi-modal feature recognitionΒ | Best Researcher Award

Communication University of China, China

Author Profile

Scopus

Early Academic Pursuits πŸŽ“

Assoc. Prof. Dr. Feng Hu’s academic journey began with a deep interest in communication and information systems. He earned his Ph.D. in Communication and Information Systems from the prestigious Communication University of China (CUC), Beijing, in 2013. This educational foundation set the stage for his distinguished career in the fields of wireless communications, media convergence, and related technologies, shaping his future research and academic contributions.

Professional Endeavors and Contributions 🌐

Dr. Feng Hu is a prominent figure in the domain of 5G/6G wireless communications, and his professional journey has been marked by several key roles. Since December 2018, he has been an Associate Professor at Communication University of China and a master tutor, where he plays a significant role in mentoring future engineers and researchers. He has also been an active member of the Working Group of Radio, Film, and Television Administration for Wireless Interactive Radio and Television, as well as a member of the Working Group of 5G Broadcast. These positions have allowed him to contribute to the development and regulation of cutting-edge technologies in the media and communications sector.

Research Focus and Impact πŸ”¬

Dr. Hu’s research interests lie in the development of transmitting and receiving techniques for 5G and 6G wireless communications. His work focuses on optimizing wireless communication systems, utilizing machine learning, and exploring optimization theory to enhance the efficiency and performance of modern communication technologies. His research has significant implications for the advancement of wireless communication systems, contributing to the global transition to next-generation technologies and improving communication capabilities in various sectors.

Technical Skills and Expertise βš™οΈ

Dr. Hu is highly skilled in the areas of wireless communications, machine learning, and optimization theory. His expertise includes developing novel algorithms and techniques for 5G/6G systems, addressing challenges in data transmission, signal processing, and system optimization. He is proficient in applying advanced mathematical models and machine learning approaches to improve communication systems’ performance, reliability, and security, making him a key player in advancing the state-of-the-art in wireless communications.

Teaching Experience and Mentorship 🍎

As an Associate Professor and master tutor, Dr. Hu is deeply involved in shaping the next generation of professionals in communication and information systems. He has taught a variety of undergraduate and graduate-level courses, imparting his knowledge in wireless communications, machine learning, and optimization. His mentorship extends beyond the classroom, guiding students in research and academic pursuits, while fostering a culture of innovation and critical thinking in the field of communications.

Legacy and Future Contributions 🌱

Dr. Hu’s legacy is rooted in his pioneering work in the development of 5G/6G wireless communication systems and his significant contributions to the academic and professional communities. Looking ahead, he aims to continue pushing the boundaries of wireless communication technologies, with a particular focus on optimizing next-generation communication networks and integrating machine learning approaches to improve system efficiencies. His future contributions will likely influence both academic research and practical implementations in the rapidly evolving fields of wireless communications and media convergence.

Academic Citations and Recognition πŸ†

Dr. Feng Hu’s research has garnered recognition in top-tier academic journals and conferences in the fields of communication systems and wireless technology. His work has not only contributed to the scientific community but has also influenced industry practices and standards in wireless communication. He continues to be a sought-after figure in academic circles, providing valuable insights into the development of 5G/6G systems and machine learning applications in communications.

Professional Affiliations and Leadership 🌍

Dr. Hu is an active member of several esteemed organizations, including IEEE and the Society of Communications, where he holds the prestigious title of Senior Member. His involvement in key working groups related to wireless interactive radio and television and 5G broadcast further highlights his leadership in shaping the future of communication technologies. These affiliations enhance his ability to drive impactful research and contribute to the global dialogue on the future of communication systems.

Future Outlook and Innovation πŸš€

With his vast expertise in wireless communication systems and emerging technologies, Dr. Hu’s future endeavors will focus on leading innovations in 6G communication systems, integrating artificial intelligence and machine learning to enhance system performance, and tackling the challenges posed by next-generation wireless networks. His ongoing research will play a critical role in shaping the future of global communication, advancing both academic theory and practical applications in the field.

Β Top Noted PublicationsΒ πŸ“–

SDDA: A progressive self-distillation with decoupled alignment for multimodal image–text classification

Authors: Chen, X., Shuai, Q., Hu, F., Cheng, Y.
Journal: Neurocomputing
Year: 2025

EmotionCast: An Emotion-Driven Intelligent Broadcasting System for Dynamic Camera Switching

Authors: Zhang, X., Ba, X., Hu, F., Yuan, J.
Journal: Sensors
Year: 2024

Β Asymptotic performance of reconfigurable intelligent surface assisted MIMO communication for large systems using random matrix theory

Authors: Hu, F., Zhang, H., Chen, S., Zhang, J., Feng, Y.
Journal: IET Communications
Year: 2024

Real-Time Multi-Service Adaptive Resource Scheduling Algorithm Based on QoE

Authors: Li, W., Li, S., Hu, F., Yin, F.
Conference: 2024 IEEE 12th International Conference on Information and Communication Networks, ICICN 2024
Year: 2024

5G RAN Slicing Resource Allocation Based on PF/M-LWDF

Authors: Hu, F., Qiu, J., Chen, A., Yang, H., Li, S.
Conference: 2024 4th International Conference on Computer Communication and Artificial Intelligence, CCAI 2024
Year: 2024

Haixia Mao | Data Science | Best Researcher Award

Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

πŸ‘¨β€πŸŽ“Professional Profile

Scopus Profile

πŸ‘©β€πŸ« Summary

Dr. Haixia Mao is an Associate Professor at the School of Automobile and Transportation at Shenzhen Polytechnic University, China. She holds a Ph.D. in Geographic Information System (GIS) and Remote Sensing from the Hong Kong Polytechnic University. Her research focuses on GIS-T, big data analytics, and analyzing urban mobility patterns, using spatial-temporal data from transportation systems to improve urban planning and human behavior modeling.

πŸŽ“ Education

Dr. Mao earned her Ph.D. in GIS and Remote Sensing from the Hong Kong Polytechnic University in 2010. She also completed her M.S. in GIS at Wuhan University in 2004 and her B.S. in Photogrammetry and Remote Sensing from Wuhan University.

πŸ’Ό Professional Experience

Dr. Mao currently serves as an Associate Professor at Shenzhen Polytechnic University (since 2012), where she has contributed to the development of transportation-related GIS courses. Previously, she worked as a Postdoctoral Researcher at the Hong Kong Polytechnic University from 2014 to 2016, furthering her expertise in urban computing and GIS.

πŸ“š Research Interests

Her research encompasses GIS-T (Geographic Information Systems for Transportation), big data analytics, remote sensing, deep learning, and urban planning. She investigates the mobility patterns of citizens through traffic data (including taxis, buses, and metro) and leverages spatial-temporal data to enhance urban infrastructure and predict human behavior.

πŸ… Academic Contributions

Dr. Mao has authored over 20 peer-reviewed journal articles and conference papers. She has also been awarded a patent for a caching system with a new cache placement method. She has received research grants for spatial-temporal data analytics in transportation and has actively contributed to major projects in urban computing.

πŸ’» Technical Skills

Dr. Mao’s technical expertise spans GIS, remote sensing, big data analytics, deep learning, and spatial-temporal data analysis. She integrates these advanced techniques to solve complex transportation and urban planning challenges.

πŸ“š Teaching Experience

Dr. Mao has taught several courses since 2012 at Shenzhen Polytechnic University, including GIS for Transportation, Traffic Engineering Cartography, and Traffic Information Processing. She has a long-standing dedication to educating future professionals in the field of urban planning and transportation technology.

 

πŸ“–Top Noted Publications

Multiple sclerosis lesions segmentation based on 3D voxel enhancement and 3D alpha matting

Authors: Sun, Y., Zhang, Y., Wang, X., Zeng, Z., Mao, H.
Journal: Chinese Journal of Medical Physics
Year: 2022

Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence

Authors: Mao, H., Fan, X., Guan, J., Wang, Y., Xu, C.
Journal: Computers in Human Behavior
Year: 2019

Β When Taxi Meets Bus: Night bus stop planning over large-scale traffic data

Authors: Xiao, L., Fan, X., Mao, H., Lu, P., Luo, S.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Characterizing On-Bus WiFi passenger behaviors by approximate search and cluster analysis

Authors: Jiang, M., Fan, X., Zhang, F., Mao, H., Liu, R.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Efficient visibility analysis for massive observers

Authors: Wang, W., Tang, B., Fan, X., Yang, H., Zhu, M.
Conference: Procedia Computer Science
Year: 2017

Web access patterns enhancing data access performance of cooperative caching in IMANETs

Authors: Fan, X., Cao, J., Mao, H., Zhao, Y., Xu, C.
Conference: Proceedings – IEEE International Conference on Mobile Data Management
Year: 2016