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

🎓 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

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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

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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

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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

Vahid Naghashi | Temporal Data Patterns | Best Researcher Award

Mr. Vahid Naghashi | Temporal Data Patterns | Best Researcher Award

Innovation Chair in Animal Welfare and Artificial Intelligence (WELL-E), Canada

Author Profile

Google Scholar

Early Academic Pursuits 📚

Mr. Vahid Naghashi is currently a Ph.D. candidate, focusing on forecasting dairy income during future lactations using deep learning models. His academic journey reflects a strong foundation in time series forecasting, machine learning, and deep learning. Throughout his academic career, he has excelled in advancing knowledge in computational models and applied artificial intelligence.

Professional Endeavors 💼

Mr. Naghashi’s career has also been shaped by professional industry experience, including an internship at a multimedia company. During his internship, he worked on projects involving Large Language Models (LLMs) and audio processing with foundation models. His exposure to real-world applications of deep learning models has broadened his expertise in both academic and industry settings.

Contributions and Research Focus 🔬

Mr. Naghashi’s research primarily focuses on time series forecasting using deep learning techniques. His major research project involves the prediction of milk profits in future lactations, an area of great relevance to the dairy industry. One of his notable contributions is the development of a multiscale model for multivariate time series forecasting, which has applications across various fields, published in Nature Scientific Reports.

Impact and Influence 🌍

The impact of Mr. Naghashi’s work extends beyond academia. His contributions to the field of deep learning for time series forecasting can significantly transform industries like dairy farming. His work in forecasting and data analytics has proven to be useful in real-world scenarios, with a growing citation index, indicating the broader influence of his research.

Academic Cites 📑

His work has been recognized in several prestigious journals, including his recent article published in Nature Scientific Reports, which has been widely cited. Additionally, his research article “A multiscale model for multivariate time series forecasting” is a key example of his contributions to the academic community, helping to shape future research directions in time series analysis and forecasting.

Technical Skills 🧑‍💻

Mr. Naghashi possesses extensive technical expertise in deep learning, machine learning, and time series forecasting. He has proficiency in advanced data science tools and techniques, including large-scale machine learning models, deep neural networks, and predictive analytics, which are crucial in his research and consultancy projects.

Teaching Experience 👨‍🏫

While there is no direct mention of formal teaching roles, Mr. Naghashi’s research and consultancy work undoubtedly involve mentoring and knowledge sharing within his academic collaborations and industry projects. His involvement with the Innovation Chair in Animal Welfare and Artificial Intelligence (WELL-E) demonstrates his commitment to educating others in his field.

Legacy and Future Contributions 🔮

Looking forward, Mr. Naghashi aims to further advance deep learning methodologies, particularly in forecasting applications across industries such as agriculture, healthcare, and finance. His future research goals include enhancing predictive models and working on larger-scale applications that have a lasting impact on both academic and professional communities.

Top Noted Publications 📖

Co-occurrence of adjacent sparse local ternary patterns: A feature descriptor for texture and face image retrieval
    • Authors: V. Naghashi
    • Journal: Optik
    • Year: 2018
Evaluation of dominant and non-dominant hand movements for volleyball action modelling
    • Authors: F. Haider, F. Salim, V. Naghashi, SBY Tasdemir, I. Tengiz, K. Cengiz, …
    • Journal: Adjunct of the 2019 International Conference on Multimodal Interaction
    • Year: 2019
Volleyball action modelling for behavior analysis and interactive multi-modal feedback
    • Authors: FA Salim, F. Haider, SBY Tasdemir, V. Naghashi, I. Tengiz, K. Cengiz, …
    • Journal: eNTERFACE’19: 15th International Summer Workshop on Multimodal Interfaces
    • Year: 2020
A searching and automatic video tagging tool for events of interest during volleyball training sessions
    • Authors: F. Salim, F. Haider, SBY Tasdemir, V. Naghashi, I. Tengiz, K. Cengiz, …
    • Journal: 2019 International Conference on Multimodal Interaction
    • Year: 2019
A multiscale model for multivariate time series forecasting
    • Authors: V. Naghashi, M. Boukadoum, AB Diallo
    • Journal: Scientific Reports
    • Year: 2025

Kai Shi | Empirical Finance | Best Researcher Award

Assoc Prof Dr. Kai Shi | Empirical Finance | Best Researcher Award

Northeast Normal University, China

👨‍🎓Professional Profile

📚 Early Academic Pursuits

Dr. Kai Shi began his academic journey with a Bachelor of Arts in Law from Jilin University in 2007. His passion for interdisciplinary studies led him to pursue a Master of Science in Statistics and a Ph.D. in Economics from Northeast Normal University, completed in 2010 and 2013, respectively. This solid educational foundation enabled Dr. Shi to bridge the gap between quantitative analysis and economic theories, shaping the trajectory of his academic career.

🌍 Professional Endeavors

Since 2013, Dr. Kai Shi has been serving as an Associate Professor at Northeast Normal University, contributing extensively to teaching, research, and academic leadership. He has also broadened his academic horizons through international engagements, including as a Visiting Scholar at Hitotsubashi University in Japan in 2014 and at Nanyang Technological University in Singapore in 2017. These experiences reflect his commitment to fostering global academic collaboration.

🔍 Contributions and Research Focus

Dr. Shi’s research primarily delves into applied economics, statistical methodologies, and law-economics intersections. His work often explores complex economic models, statistical forecasting, and policy analysis, contributing valuable insights to the academic community. Dr. Shi’s innovative research has been recognized through numerous publications in reputable journals, advancing both theoretical and applied knowledge in his fields of expertise.

🌟 Impact and Influence

Through his interdisciplinary approach, Dr. Shi has influenced the academic and professional communities, equipping students and peers with critical analytical skills. His ability to apply economic and statistical insights to real-world challenges has set a benchmark for future scholars in related domains.

📄 Academic Citations

Dr. Shi’s published works have garnered significant citations, reflecting the relevance and impact of his research. His contributions are widely referenced in discussions about economic modeling, statistical innovation, and their implications for policy-making.

💻 Technical Skills

Dr. Shi is proficient in advanced statistical software and econometric tools, including R, Stata, and MATLAB. These technical skills underpin his ability to conduct high-level quantitative research and provide students with hands-on experience in economic analysis.

👨‍🏫 Teaching Excellence

As an educator, Dr. Shi is dedicated to fostering critical thinking and analytical prowess among his students. He has designed and delivered courses that integrate theoretical knowledge with practical applications, preparing students for challenges in academia and industry alike.

🔑 Legacy and Future Contributions

Dr. Kai Shi’s dedication to interdisciplinary research and education positions him as a pivotal figure in his field. Moving forward, he aims to expand his research on the socio-economic impacts of policy-making and mentor the next generation of scholars. His legacy lies in his unwavering commitment to academic excellence and societal advancement.

📖Top Noted Publications

  • “Identifying the key player in the diffusion network of global economic policy uncertainty”
    • Authors: Kai Shi, Li Nie
    • Journal: Frontiers in Physics
    • Year: 2024
  • “Variability in the impacts of partisan conflict: a new perspective from bank credit”
    • Authors: Xuan Hu, Kai Shi, Li Nie, Meng Yan
    • Journal: Economic Research-Ekonomska Istraživanja
    • Year: 2023
  • “The influence of the spillover between futures and spot markets on hedging policy: evidence from Chinese stock markets”
    • Authors: Kai Shi, Junlian Gong
    • Journal: Frontiers in Physics
    • Year: 2023
  • “Revisiting the Impact of US Uncertainty Shocks: New Evidence from China’s Investment Dynamics”
    • Authors: Meng Yan, Kai Shi
    • Journal: Open Economies Review
    • Year: 2023
  • “Evidence on clean energy consumption and business cycle: A global perspective”
    • Authors: Meng Yan, Kai Shi
    • Journal: Natural Resources Forum
    • Year: 2021
  • “Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic”
    • Authors: Kai Shi
    • Journal: Journal of Risk and Financial Management
    • Year: 2021
  • “The impact of high-frequency economic policy uncertainty on China’s macroeconomy: evidence from mixed-frequency VAR”
    • Authors: Meng Yan, Kai Shi
    • Journal: Economic Research-Ekonomska Istraživanja
    • Year: 2021
  • “A Cointegration of the Exchange Rate and Macroeconomic Fundamentals: The Case of the Indonesian Rupiah vis-á-vis Currencies of Primary Trade Partners”
    • Authors: Agus Salim, Kai Shi
    • Journal: Journal of Risk and Financial Management
    • Year: 2019
  • “Did China Effectively Manage Its Foreign Exchange Reserves? Revisiting the Currency Composition Change”
    • Authors: Kai Shi
    • Journal: Emerging Markets Finance and Trade
    • Year: 2017

Håkan Jankensgård | Quantitative Social Science Research | Best Researcher Award

Dr. Håkan Jankensgård | Quantitative Social Science Research | Best Researcher Award

Dr. Håkan Jankensgård at Stockholm University, Sweden

Professional Profile👨‍🎓

Early Academic Pursuits 🎓

Dr. Håkan Jankensgård’s academic journey began with a strong foundation at Lund University, Sweden, where he completed both his MSc in Business Administration (2001) and later his PhD in Business Administration (2011). His dissertation, titled “Essays on Corporate Risk Management,” reflects his early academic focus on risk management, which has become the cornerstone of his research career. His education was further enriched by several specialized courses, including Lärarrollen vid universitet och högskola (2014) and The Good Lecture (2015), honing his teaching and supervisory skills.

Professional Endeavors 💼

Dr. Jankensgård’s professional career spans both academia and industry, bringing practical expertise into the classroom. From 2001 to 2003, he served as a Risk Manager at Norsk Hydro in Oslo, Norway, where he gained valuable real-world experience in corporate risk management. His consulting role at Lund, Sweden, from 2004 to 2012, deepened his understanding of corporate finance and risk strategies. This combination of academic excellence and hands-on industry experience makes him a well-rounded academic and consultant.

Contributions and Research Focus 🔍

Dr. Jankensgård’s research is centered on corporate risk management, with an emphasis on understanding how businesses navigate and mitigate financial risks. His work on the role of CEOs in risk management and his long-term study on the effectiveness of corporate risk management have made significant contributions to the field. His research has been supported by prestigious funding bodies like the Jan Wallander and Tom Hedelius Foundations, showcasing his reputation within the academic and professional community. Notably, his studies have questioned the true effectiveness of corporate risk management, offering new insights into the implementation and value of risk strategies in business.

Impact and Influence 🌍

Dr. Jankensgård’s influence extends far beyond his research. He has been actively involved in shaping the discourse on corporate finance, risk, and resilience. He regularly speaks at high-profile events, such as the Svenska Finansanalytikers Förbund and the Rotary Stockholm, and contributes to discussions on risk governance, strategy, and financial forecasting. As a member of various academic and professional committees, including his role on the FFUN committee at Lund University, he has been integral in shaping academic appointments and ensuring the integrity of academic processes.

Academic Citations 📚

Dr. Jankensgård’s research has garnered significant academic attention, with over 820 citations and an H-index of 13 on Google Scholar. His works are widely read, with 5,293 downloads on SSRN, placing him in the top 5% of authors on the platform. These numbers reflect his growing impact in the fields of corporate finance and risk management, as scholars and practitioners continue to engage with his work.

Technical Skills ⚙️

Dr. Jankensgård’s technical expertise is vast, particularly in risk management, corporate finance, and valuation. He has a deep understanding of financial markets, risk governance, and resilience strategies, all of which he integrates into his teaching and research. His ability to apply theoretical knowledge to real-world scenarios, combined with his technical proficiency in financial modeling and corporate strategy, has made him a sought-after consultant and speaker.

Teaching Experience 📚

Dr. Jankensgård’s teaching experience spans over a decade, during which he has developed and led several key courses. As the instructor and course director for courses like Managerial Finance, Corporate Risk Management, and Corporate Valuation at both Lund University and Stockholm University, he has impacted the education of hundreds of students. His courses have been highly ranked, with students consistently praising their relevance to future careers. Beyond course delivery, he is an active doctoral supervisor, guiding 8-15 thesis students annually and contributing to their academic growth.

Legacy and Future Contributions 🚀

Dr. Jankensgård’s legacy lies in his commitment to bridging theory and practice in corporate finance and risk management. As an educator, researcher, and industry expert, he continues to shape the future of the field. His ongoing research projects and speaking engagements suggest that his influence will only grow in the coming years. His contributions to understanding corporate risk, valuation, and resilience will continue to guide future research and industry practices.

YouTube Channel 📹

In addition to his academic work, Dr. Jankensgård has embraced digital media to further educate and engage with a wider audience. His YouTube channel, Jankensgard on Risk, launched in 2021, is dedicated to the theory and practice of risk management. With 250+ subscribers, it serves as an accessible platform for students, professionals, and enthusiasts interested in corporate risk strategies.

Doctoral Supervision 📝

Dr. Jankensgård is deeply involved in the academic development of doctoral students. He has supervised several PhD candidates, including Nick Christie, whose thesis explores financial constraints, risk, and investment. His active participation in doctoral committees, such as the grading of doctoral dissertations, further highlights his commitment to advancing academic knowledge and supporting the next generation of scholars.

 

Top Noted Publications 📖