Yonas Gezahegn | Engineering | Best Researcher Award

Dr. Yonas Gezahegn | Engineering | Best Researcher Award

Nestle Purina/Washington State University | United States

Dr. Yonas A. Gezahegn is a distinguished research and development engineer specializing in thermal and food process engineering, with extensive expertise in microwave-assisted thermal sterilization and pasteurization, heat and mass transfer, biochemical engineering, and food safety. With over 15 years of academic and industry experience, Dr. Gezahegn has developed a strong reputation for integrating engineering principles with advanced experimental and computational methods to optimize food processing and thermal treatment technologies. His research bridges the gap between fundamental engineering science and industrial applications, ensuring both efficiency and safety in food production systems. Dr. Gezahegn’s academic training includes a PhD in Biological Systems Engineering (Food Engineering) from Washington State University, where he focused on optimization of microwave-assisted thermal sterilization and pasteurization processes using analytical models and computer simulations. His prior degrees include a Master’s in Chemical Engineering from Addis Ababa University, and a Bachelor’s in Food and Biochemical Technology from Bahir Dar University, where his research addressed critical challenges in oil and fat extraction, fermentation, and food quality assessment. Currently serving as R&D Process Engineer – Thermal Process Expert at Nestle Purina, Dr. Gezahegn leads projects on process improvement, thermal sterilization validation, and retort commissioning for low-acid and acidified food products. He has successfully managed large-scale research projects, including microwave-assisted thermal processing of breaded meats, temperature distribution studies, and process optimization for commercial food production. His work also encompasses pilot-plant scale-up, analytical characterization, and data-driven modeling to ensure precise control of thermal processing conditions. Dr. Gezahegn has published over 12 peer-reviewed journal articles in top-tier journals, including the Journal of Food Engineering, Current Research in Food Science, Innovative Food Science & Emerging Technologies, Food Science and Nutrition, and LWT – Food Science and Technology. His publications focus on microwave-assisted processing, dielectric properties of foods, thermal pasteurization optimization, and oil extraction technologies. Notably, his research has led to multiple patents, including a utility model for screw expeller-based shea butter extraction and pending patents on gluten-free pizza crust and crispy breaded food processes. His work has been widely cited in the food engineering and process optimization communities, highlighting his influence in both academic and industrial research. In addition to research, Dr. Gezahegn has contributed extensively to industry-academic collaborations, securing competitive grants such as the USDA-NIFA and WSU Hatch projects totaling over USD 4 million, and Ethiopian national projects on drying and fermentation of plant-based products. Dr. Gezahegn published 12+ peer-reviewed articles, 550 Citations and 10 H-index.  His projects integrate  analytical modeling, simulation, experimental validation, and process design to improve efficiency, safety, and nutritional quality in food production. Dr. Gezahegn has served as a reviewer for journals including Applied Food Research, Journal of Food Engineering, and the International Journal for Vitamin and Nutrition Research, reflecting his standing in the research community. His leadership extends to professional societies, including IFT, IMPI, SoFE, and ASABE, and he has held roles such as President of the Food Engineering Club and departmental representative in the Graduate and Professional Student Association. Overall, Dr. Gezahegn’s work demonstrates a sustained commitment to advancing food engineering, thermal process optimization, and industrial innovation, making significant contributions to improving food safety, process efficiency, and product quality. His research portfolio combines rigorous academic scholarship with practical applications, establishing him as a leading expert in thermal food processing and microwave-assisted sterilization technologies.

Profiles: Scopus | Orcid

Featured Publications

Gezahegn, Y., Tang, J., et al. (2024). Development and validation of engineering charts: Heating time and optimal salt content prediction for microwave assisted thermal sterilization. Journal of Food Engineering, 369, 111909. https://doi.org/10.1016/j.jfoodeng.2023.111909

Gezahegn, Y., Yoon-Ki, H., Tang, J., et al. (2023). Development and validation of analytical charts for microwave assisted thermal pasteurization of selected food products. Journal of Food Engineering, 349, 111434. https://doi.org/10.1016/j.jfoodeng.2023.111434

Zhou, X., Gezahegn, Y., et al. (2023). Theoretical reasons for rapid heating of vegetable oils by microwaves. Current Research in Food Science, 7, 100641. https://doi.org/10.1016/j.crfs.2023.100641

Gezahegn, Y., Tang, J., Sablani, S., et al. (2021). Dielectric properties of water relevant to microwave assisted thermal pasteurization and sterilization of packaged foods. Innovative Food Science & Emerging Technologies, 74, 102837. https://doi.org/10.1016/j.ifset.2021.102837

Gezahegn, Y., Emire, S., & Asfaw, S. (2016). Optimization of Shea (Vitellaria paradoxa) butter quality using screw expeller extraction. Food Science & Nutrition, 4(6), 840–847. https://doi.org/10.1002/fsn3.351

Gezahegn, Y., Emire, S., & Asfaw, S. (2016). Effect of processing factors on Shea (Vitellaria paradoxa) butter extraction. LWT – Food Science and Technology, 66, 172–178. https://doi.org/10.1016/j.lwt.2015.10.036

 

William Gardner | Engineering | Best Researcher Award

Prof. William Gardner | Engineering | Best Researcher Award 

University of California, Davis | United States

Dr. William A. Gardner is an esteemed scholar and pioneer in statistical signal processing, particularly renowned for his foundational contributions to cyclostationary signal processing theory and methods. His postsecondary education began with a Certificate in Aircraft Radio Repair (1961) at Keesler Air Force Base, followed by coursework in electronics and electrical engineering at Foothill College and Stanford University, where he earned his M.S. in Electrical Engineering (1967). He pursued further graduate studies at MIT and Bell Labs, and earned his Ph.D. in Electrical Engineering from the University of Massachusetts Amherst (1972). Dr. Gardner joined the University of California, Davis in 1972, where he advanced to Professor VII before becoming Professor Emeritus in 2001. Over his career, he supervised numerous M.S. and Ph.D. theses focused on statistical signal processing, especially the exploitation of cyclostationarity in communications and signals intelligence. In 1986, Dr. Gardner founded Statistical Signal Processing, Inc. (SSPI), a private research firm dedicated to advanced algorithm development for radio reconnaissance, signals intelligence, and cellular communications. The firm, which operated for 25 years, licensed its technologies to major corporations including Apple Inc. and Lockheed Martin. Post-retirement, he continued research collaborations—most notably with Prof. Antonio Napolitano—on advanced statistical cyclicity and nonstationary signal behavior. His recent work has expanded into electromagnetic modeling of cosmic plasma and laboratory-confined plasma, supporting paradigm-challenging efforts such as the Plasma Universe, Thunderbolts Project, and the SAFIRE Project, all aimed at redefining astrophysical theory and clean energy generation. Dr. Gardner is the author of four influential books, including Introduction to Random Processes and Statistical Spectral Analysis, and editor of Cyclostationarity in Communications and Signal Processing. He has contributed chapters to five other books, authored or co-authored over 110 peer-reviewed journal papers, and holds 15 U.S. patents. His academic impact is reflected in a citation count exceeding 7489, an h-index of 33, and continued recognition for shaping the theoretical underpinnings of modern signal processing. He has delivered invited lectures globally and remains a thought leader across academia, industry, and emerging scientific paradigms.

Profiles:  Scopus | Orcid | Google Scholar

Featured Publications

Gardner, W. A. (2002). Exploitation of spectral redundancy in cyclostationary signals. IEEE Signal Processing Magazine, 8(2), 14–36.

Gardner, W. A. (1990). Introduction to random processes: With applications to signals and systems. McGraw-Hill.

Gardner, W. A., Napolitano, A., & Paura, L. (2006). Cyclostationarity: Half a century of research. Signal Processing, 86(4), 639–697.

Gardner, W. A., & Robinson, E. A. (1989). Statistical spectral analysis—A nonprobabilistic theory. Prentice-Hall.

Gardner, W. A. (1994). Cyclostationarity in communications and signal processing. IEEE Press.

Gardner, W. A. (2002). Signal interception: A unifying theoretical framework for feature detection. IEEE Transactions on Communications, 36(8), 897–906.

Gardner, W. A., Brown, W., & Chen, C. K. (1987). Spectral correlation of modulated signals: Part II—Digital modulation. IEEE Transactions on Communications, 35(6), 595–601.

Gardner, W. A., & Franks, L. E. (1975). Characterization of cyclostationary random signal processes. IEEE Transactions on Information Theory, 21(1), 4–14.

Gardner, W. A., & Spooner, C. M. (1992). Signal interception: Performance advantages of cyclic-feature detectors. IEEE Transactions on Communications, 40(1), 149–159.

Adnan Abu-Mahfouz | Engineering | Best Researcher Award

Prof. Adnan Abu-Mahfouz, Engineering, Best Researcher Award

Professor at Council for Scientific and Industrial Research (CSIR), South Africa

Prof. Abu-Mahfouz is a distinguished researcher and academic in computer engineering. He holds a PhD and MEng from the University of Pretoria, South Africa, and a BSc in Information Engineering from the University of Baghdad, Iraq. Currently, he is the Centre Manager for Emerging Digital Technologies at CSIR NextGen Enterprises and Institutions and holds professorial roles at the University of Pretoria, Tshwane University of Technology, and the University of Johannesburg. Prof. Abu-Mahfouz excels in industrial-based R&D, particularly in the Internet of Things (IoT) and smart systems. He has secured over USD 4.5 million in research funding and has published extensively, with 139 journal articles and 136 conference papers. His work has earned him numerous awards, and his high H-index scores reflect his impactful research. Additionally, he has mentored over 70 postgraduate and postdoctoral researchers, contributing significantly to the academic and scientific community.

Professional Profiles:

Education

Prof. Abu-Mahfouz has an extensive and distinguished educational background in computer engineering. He earned his PhD in Computer Engineering from the University of Pretoria, South Africa, from 2007 to 2011. Prior to that, he completed his MEng in Computer Engineering, also at the University of Pretoria, from 2003 to 2005, graduating Cum Laude. His foundational education in engineering began with a BSc in Information Engineering from the University of Baghdad, Iraq, where he graduated in 2000 with an impressive 84.18%, earning the “First” rank in his class. Throughout his academic journey, Prof. Abu-Mahfouz has demonstrated consistent excellence, receiving numerous accolades such as Academic Honorary Colours from the Student Representative Council at the University of Pretoria for both his PhD and MEng degrees. His educational achievements have laid a strong foundation for his prolific research and professional career.

Professional Experience

Prof. Abu-Mahfouz is currently the Centre Manager for the CSIR NextGen Enterprises and Institutions (EDT4IR) since July 2020 and holds multiple professorial positions. He is an Extraordinary Professor at the University of Pretoria, a Professor Extraordinaire at Tshwane University of Technology, and a Visiting Professor at the University of Johannesburg. His previous roles include Principal Research Engineer and Senior Research Engineer at CSIR, and Chair of the Water Resource Management Network at the City of Tshwane. His early career includes positions as a Software Engineer, Network Administrator, and Faculty Coordinator at the Emirates College of Technology.

Research Interest

Professor Adnan Abu-Mahfouz’s research interests encompass a broad spectrum of topics in computer engineering and technology. His primary focus is on the Internet of Things (IoT), where he explores the design, implementation, and application of IoT systems, with a particular interest in smart infrastructure and smart cities. He is also deeply invested in network security, investigating methods to enhance the security and reliability of network systems, including cybersecurity measures and protocols. Additionally, he studies the development and optimization of wireless sensor networks (WSNs), which are crucial for monitoring and data collection in various environments. His work in cyber-physical systems (CPS) involves integrating physical processes with networked digital systems to ensure seamless interaction between the physical and virtual worlds. Prof. Abu-Mahfouz is also focused on industrial informatics, applying advanced informatics techniques to improve efficiency, productivity, and automation in industrial systems. Furthermore, he leverages artificial intelligence (AI) and machine learning (ML) algorithms to enhance the functionalities of technological systems, particularly in IoT and CPS. His interest in smart water management involves developing innovative solutions for water resource management using advanced technologies and smart systems. Lastly, he utilizes data analytics to extract meaningful insights from large datasets, particularly in the context of IoT and smart systems, addressing real-world challenges and promoting sustainable development through his research.

Award and Honors

Prof. Abu-Mahfouz has received numerous awards and honors in recognition of his contributions to research, innovation, and academic excellence. Among these accolades, he was awarded the “Career Growth CSIR Excellence Award” and the “Outstanding Contribution by a Team – Electronic Monitoring Team – Excellence Award” by the Council for Scientific and Industrial Research in 2022. He also received the “Outstanding Associate Editor of 2018” award from the IEEE Access Journal. His research excellence earned him the “Established Researcher CSIR Excellence Award” in 2018 and the “Emerging Leader Excellence Award” in 2015 from CSIR’s Meraka Institute. Furthermore, Prof. Abu-Mahfouz has been recognized by the University of Pretoria for his academic achievements, being listed in the top 15% of academic achievers and invited to join the Golden Key International Honour Society. These awards highlight his leadership, significant research contributions, and dedication to advancing science and technology.

Research Skills

Prof. Abu-Mahfouz possesses exceptional research skills that have significantly advanced his field. He has a proven track record in developing and implementing robust research and development (R&D) strategies, particularly in emerging digital technologies and the Internet of Things (IoT). His expertise in formulating large, multidisciplinary R&D proposals has secured over USD 4.5 million in funding, demonstrating his ability to attract substantial investment and drive impactful research projects. Prof. Abu-Mahfouz’s research skills are evidenced by his extensive publication record, which includes 139 journal articles, 136 conference papers, and 6 book chapters. His work is highly regarded, reflected in his H-index of 48 on Google Scholar and 39 on Scopus. Additionally, he has successfully supervised and mentored numerous postgraduate and postdoctoral researchers, further underscoring his leadership and mentorship in the research community. His role as an associate editor for several high-impact IEEE journals also highlights his expertise in evaluating and guiding cutting-edge research in his field.

Publications

A survey on 5G networks for the Internet of Things: Communication technologies and challenges

  • Authors: GA Akpakwu, BJ Silva, GP Hancke, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 1473
  • Journal: IEEE Access
  • Volume: 6
  • Pages: 3619-3647

From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges

  • Authors: Y Liu, X Ma, L Shu, GP Hancke, AM Abu-Mahfouz
  • Year: 2020
  • Citations: 620
  • Journal: IEEE Transactions on Industrial Informatics
  • Volume: 17
  • Issue: 6
  • Pages: 4322-4334

A survey on software-defined wireless sensor networks: Challenges and design requirements

  • Authors: HI Kobo, AM Abu-Mahfouz, GP Hancke
  • Year: 2017
  • Citations: 541
  • Journal: IEEE Access
  • Volume: 5
  • Pages: 1872-1899

Software defined wireless sensor networks application opportunities for efficient network management: A survey

  • Authors: KM Modieginyane, BB Letswamotse, R Malekian, AM Abu-Mahfouz
  • Year: 2018
  • Citations: 268
  • Journal: Computers & Electrical Engineering
  • Volume: 66
  • Pages: 274-287

A review of machine learning approaches to power system security and stability

  • Authors: OA Alimi, K Ouahada, AM Abu-Mahfouz
  • Year: 2020
  • Citations: 266
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 113512-113531

IoT devices and applications based on LoRa/LoRaWAN

  • Authors: O Khutsoane, B Isong, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 249
  • Conference: IECON 2017 – 43rd Annual Conference of the IEEE Industrial Electronics Society
  • Pages: Not specified

Software defined networking for improved wireless sensor network management: A survey

  • Authors: M Ndiaye, GP Hancke, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 243
  • Journal: Sensors
  • Volume: 17
  • Issue: 5
  • Article Number: 1031

IoT in the wake of COVID-19: A survey on contributions, challenges and evolution

  • Authors: M Ndiaye, SS Oyewobi, AM Abu-Mahfouz, GP Hancke, AM Kurien, …
  • Year: 2020
  • Citations: 193
  • Journal: IEEE Access
  • Volume: 8
  • Pages: 186821-186839

Towards achieving a reliable leakage detection and localization algorithm for application in water piping networks: An overview

  • Authors: KB Adedeji, Y Hamam, BT Abe, AM Abu-Mahfouz
  • Year: 2017
  • Citations: 180
  • Journal: IEEE Access
  • Volume: 5
  • Pages: 20272-20285

Smart water meter system for user-centric consumption measurement

  • Authors: MJ Mudumbe, AM Abu-Mahfouz
  • Year: 2015
  • Citations: 167
  • Conference: 2015 IEEE 13th International Conference on Industrial Informatics (INDIN)