Nivine Guler | Computer graphics | Best Researcher Award

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Assist. Prof. Dr. Nivine Guler | Computer graphics | Best Researcher Award

Computer Engineering, University of Central Asia, Kyrgyzstan

👩‍💻 Dr. Nivine Guler is an accomplished Assistant Professor in the Computer Science Department at the University of Central Asia in Naryn, Kyrgyzstan. She holds a Ph.D. in Computer Engineering from Eastern Mediterranean University, where she earned a perfect GPA of 4.0. With expertise in wireless sensor networks, her research focuses on optimizing SDN controller placement, energy-efficient routing, and resource allocation in various wireless and IoT systems. She has authored numerous scholarly articles and presented at prestigious international conferences. Dr. Guler is an IEEE Member and serves as the Editorial Manager for the International Journal of Electronics and Communications.

Publication Profile

Education

🎓 Dr. Guler earned her Ph.D. in Computer Engineering from the Department of Computer Engineering at Eastern Mediterranean University, North Cyprus, in 2021. She completed her Master’s in Computer Engineering at the same institution in 2015 and a Bachelor’s degree in Computer Science from Beirut Arab University, Lebanon, in 2004.

Experience

💼 Dr. Guler has extensive academic experience, previously serving as an Assistant Professor and Head of the Informatics Engineering Department at the University of Technology Bahrain. She currently works at the University of Central Asia, where she continues to make significant contributions to research and teaching. Her career also includes valuable industrial experience, particularly in wireless networks and energy management systems.

Awards and Honors

Dr. Guler has received multiple accolades for her research contributions. She was awarded the Best Paper Award at the Engineered Science Publisher Journals in 2023 for her work on resource allocation schemes in hybrid wireless networks. Additionally, she earned the Best Researcher Award at the International Research Award for Excellence in Network Protocols, Technology, and Communication in 2024. 🏆🎖️

Research Focus

Her research interests cover a range of cutting-edge topics, including Artificial Intelligence in robot control systems, wireless communications, energy-efficient solutions for IoT, SWIPT/Visible Light Communication (VLC), deep reinforcement learning for electric vehicles, and the application of deep learning models in wireless sensor networks. Dr. Guler continues to explore innovative ways to improve energy-saving systems and smart technologies in wireless communications and vehicular networks. 🤖💡

Conclusion

🌟 Dr. Guler’s work continues to push boundaries in wireless networks, SDN, and IoT systems. With an impressive publication record and ongoing academic and industrial engagements, she stands out as a leader in her field.

Publications

A Fault Tolerance Metaheuristic-Based Scheme for Controller Placement Problem in Wireless Software Defined Networks
Journal: International Journal of Communication Systems (IJCS), Vol. 34, No. 4, 2021
Link
Cited by: 15

ERQTM: Energy-efficient Routing and QoS-supported Traffic Management for WBANS
Journal: IEEE Sensors Journal, Vol. 21, No. 12, 2021
DOI: 10.1109/JSEN.2021.3075241
Cited by: 23

ESRA: Energy Soaring-based Routing Algorithm for IoT Applications in Software-Defined Wireless Sensor Network
Journal: Egyptian Informatics Journal, Vol. 23, No. 2, pp. 215-224, 2021
DOI: 10.1016/j.eij.2021.12.004
Cited by: 18

ARCH: Adaptive Resource Allocation for Cooperative Transmission in Hybrid SWIPT-enabled Wireless Powered Sensor Networks
Journal: Engineered Science Journal, Vol. 25, No. 932, 2023
DOI: 10.30919/es932
Cited by: 10

A K-Additive Fuzzy Logic Approach for Optimizing FCS Sizing and Enhanced User Satisfaction
Journal: World Electrical Vehicles Journal, Vol. 15, No. 4, 2024
DOI: https://doi.org/10.3390/wevj15040150
Cited by: 7

Smart Allocation and Sizing of Fast Charging Stations: A Metaheuristic Solution
Journal: International Journal of Sustainable Energy, 43(1), 2024
DOI: 10.1080/14786451.2024.2350970
Cited by: 5

Vertical Handover-based Hybrid RF/VLC Scheme for e-Health Applications (VHO-HeA)
Journal: Engineered Science, 2024, Accepted
Cited by: Not yet published

Adaptive Fuzzy Logic Controller-based Intelligent Energy Management System Scheme for Hybrid Electric Vehicles
Journal: IEEE Access, 2024, under review
Cited by: Not yet published

Prabakaran Raghavendran | Artificial Neural Network | Young Scientist Award

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Mr. Prabakaran Raghavendran | Artificial Neural Network | Young Scientist Award

Research Scholar, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology (Deemed to be University), India

Prabakaran Raghavendran is a dynamic researcher and Ph.D. candidate at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, specializing in Fractional Differential Equations, Integral Transforms, Functional Differential Equations, and Control Theory. With a strong academic foundation in Mathematics, he earned an M.Sc. in Mathematics with an impressive CGPA of 9.79 from the same institution in 2022. He is currently pursuing his Ph.D., contributing significantly to the field with several research publications, patents, and international conference presentations. 🌟

Publication Profile

Education:

Prabakaran completed his B.Sc. in Mathematics at Loyola College, Chennai, in 2020 with a CGPA of 9.25. He further advanced his academic career by obtaining an M.Sc. in Mathematics from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology in 2022, where he excelled with a CGPA of 9.79. Currently, he is pursuing his Ph.D. at the same institution, expected to complete in 202X. 🎓📚

Experience:

Prabakaran has been actively engaged in the research and development of advanced mathematical models and algorithms. His experience spans across fractional differential equations, fuzzy analysis, cryptography, and artificial neural networks. Additionally, he has contributed to the development of innovative technologies, holding multiple patents in signal analysis, optimization, and medical applications. His work is widely recognized in the academic and research communities. 💼🔬

Awards and Honors:

Prabakaran’s academic excellence and dedication to research have earned him several prestigious awards, including the Best Paper Presentation Award for his work on Fractional Integro Differential Equations at the 7th International Conference on Mathematical Modelling, Applied Analysis, and Computation (ICMMAAC-24) in Beirut, Lebanon. He is also a life member of both the International Association of Engineers (IAENG) and the International Organization for Academic and Scientific Development (IOASD). 🏅🌍

Research Focus:

Prabakaran’s research focuses on Fractional Differential Equations, Integral Transforms, and Control Theory, with particular attention to their applications in various fields such as cryptography, artificial neural networks, and fuzzy analysis. He has developed new methodologies for solving complex mathematical models and is deeply involved in finding practical solutions for issues such as Parkinson’s disease prognosis, noise reduction in signals, and optimization in robotics. 🔍🔢

Conclusion:

Prabakaran Raghavendran is a passionate and dedicated researcher in the field of Mathematics, with a strong focus on fractional differential equations and control theory. His groundbreaking work in both theoretical and applied mathematics has earned him recognition through publications and patents. With his ongoing research contributions, he continues to push the boundaries of mathematical modeling and its applications in real-world problems. 🌐💡

Publications:

A Study on the Existence, Uniqueness, and Stability of Fractional Neutral Volterra-Fredholm Integro-Differential Equations with State-Dependent Delay. Fractal Fractional, 9 (1), 1-23. (2024) (SCIE-WoS & Scopus) (Q1).

Analytical Study of Existence, Uniqueness, and Stability in Impulsive Neutral Fractional Volterra-Fredholm Equations.  Journal of Mathematics and Computer Science, 38 (3), 313-329. (2024) (WoS & Scopus) (Q1).

Application of Artificial Neural Networks for Existence and Controllability in Impulsive Fractional Volterra-Fredholm Integro-Differential Equations. Applied Mathematics in Science and Engineering, 32 (1), 1-21. (2024) (SCIE-WoS-Scopus).

Existence and Controllability for Second-Order Functional Differential Equations With Infinite Delay and Random Effects.  International Journal of Differential Equations, 5541644, 2024, 1-9. (2024) (WoS & Scopus).

Solving the Chemical Reaction Models with the Upadhyaya Transform. Orient J Chem, 2024; 40(3). (WoS) (WoS).

Tobias Maurer | Urooncology | Best Researcher Award

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Prof. Dr. Tobias Maurer | Urooncology | Best Researcher Award

Faculty, University Hospital Hamburg-Eppendorf, UKE, Martini-Klinik, Germany

👨‍⚕️ Prof. Dr. med. Tobias Maurer, FEBU, is a renowned urologist specializing in prostate cancer treatment and research. He is a faculty member at the prestigious Martini-Klinik Prostate Cancer Center, University of Hamburg-Eppendorf, Germany. With over two decades of clinical and academic experience, Dr. Maurer is a globally recognized expert in PSMA-PET imaging, radioguided surgery, and innovative prostate cancer therapies. His work has earned him numerous awards and international recognition for advancing urological care.

Publication Profile

ORCID

Education

🎓 Prof. Maurer completed his medical training and residency at the Technical University of Munich (TUM) from 1997 to 2009. His dedication to academic excellence laid the foundation for a distinguished career in urology and prostate cancer research.

Experience

🏥 Prof. Maurer has held prominent positions throughout his career. He served as a Urologist and Attending Urologist at TUM’s Department of Urology from 2009 to 2016, followed by his role as Senior Attending Urologist in 2017-2018. Since 2018, he has been a vital part of the Martini-Klinik, contributing significantly to patient care and clinical research.

Awards and Honors

🏆 Prof. Maurer has received over 30 national and international accolades, highlighting his contributions to uro-oncology. Key awards include the 2017 German Urological Association (DGU) Award for Research and Innovation in Uro-Oncology, the 2015 EAU-AUA Scientific Exchange Programme Stipend (USA), and a Stipend from the German Research Foundation (2000–2002).

Research Focus

🔬 Dr. Maurer’s research centers on prostate cancer imaging, surgery, and therapy, particularly PSMA-PET imaging and radioguided surgery. He has served as co-investigator in over 30 clinical studies and as principal investigator for four clinical trials. With an h-index of 50 and more than 220 publications (impact factor >900), his contributions to urological science are substantial.

Conclusion

🌟 Prof. Dr. Tobias Maurer’s expertise and dedication to advancing prostate cancer care have established him as a leader in the field of urology. His clinical innovations, academic achievements, and numerous accolades reflect his commitment to improving patient outcomes globally.

Publications

Assessment of Different Castration Resistance Definitions and Staging Modalities in Metastatic Castration-Resistant Prostate Cancer
🗓️ Cancers, 2024-10-17
DOI: 10.3390/cancers16203506

Comparative analysis of robot-assisted and open approach for PSMA-radioguided surgery in recurrent prostate cancer
🗓️ European Journal of Nuclear Medicine and Molecular Imaging, 2024-08
DOI: 10.1007/s00259-023-06460-5

Nerve-sparing radical prostatectomy using the neurovascular structure-adjacent frozen-section examination (NeuroSAFE): results after 20 years of experience
🗓️ Prostate Cancer and Prostatic Diseases, 2024-06-11
DOI: 10.1038/s41391-024-00851-x

Limited prognostic role of routine serum markers (AP, CEA, LDH, and NSE) in oligorecurrent prostate cancer patients undergoing PSMA-radioguided surgery
🗓️ World Journal of Urology, 2024-04-24
DOI: 10.1007/s00345-024-04948-9

PSA-density, DRE, and PI-RADS 5: potential surrogates for omitting biopsy?
🗓️ World Journal of Urology, 2024-03-20
DOI: 10.1007/s00345-024-04894-6

PSMA-targeted fluorescence guidance for robotic-assisted prostatectomy
🗓️ Nature Reviews Urology, 2023-12
DOI: 10.1038/s41585-023-00817-z

EAU Biochemical Recurrence Risk Classification and PSA Kinetics Have No Value for Patient Selection in PSMA-Radioguided Surgery (PSMA-RGS) for Oligorecurrent Prostate Cancer
🗓️ Cancers, 2023-10
DOI: 10.3390/cancers15205008

 

Luoan Wu | Geotechnical Engineering | Best Researcher Award

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Mr. Luoan Wu | Geotechnical Engineering | Best Researcher Award

Postgraduate, Department of Civil Engineering, Lanzhou Jiaotong University, China

🎓 Luoan Wu is a passionate postgraduate student in Civil Engineering at Lanzhou Jiaotong University. With a keen interest in geotechnical and roadbed engineering, he has contributed significantly to academic research and collaborative projects. His work reflects dedication to advancing the field of civil engineering through innovative research and active participation in academic discussions.

Publication Profile

ORCID

Education

📚 Luoan Wu is pursuing his graduate studies at the School of Civil Engineering, Lanzhou Jiaotong University. As a third-year postgraduate student, he has focused on building expertise in geotechnical and roadbed engineering, demonstrating a commitment to academic excellence.

Experience

💼 Luoan has participated in multiple research projects, including collaboration with Hubel Janke International Engineering Co. Ltd. on the Cement Mixing Pile project. His responsibilities include conceptualization, data collection, surveys, and contributing to scientific publications.

Awards and Honors

🏅 Although specific awards are not listed, Luoan’s achievements include publishing high-quality research papers and actively contributing to academic and industrial collaborations.

Research Focus

🔬 Luoan’s research revolves around geotechnical engineering and roadbed engineering. He has published academic papers in reputable journals and continues to explore innovative methods to enhance civil engineering practices. His contributions include original drafts, data collation, editing, and software application in research.

Conclusion

🌟 Luoan Wu embodies dedication and enthusiasm in civil engineering, striving for innovation and knowledge sharing. His commitment to excellence makes him a promising researcher with significant contributions to the field.

Publication:

Model Testing and Numerical Simulation of the Bearing Characteristics of Screw-Core Cement Mixing Pile

 

Li Zheng | Electronic Materials | Young Scientist Award

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Prof. Li Zheng | Electronic Materials | Young Scientist Award

Professor, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China

👨‍🏫 Li Zheng is a distinguished professor, doctoral supervisor, and Deputy Director of the Silicon-based Materials and Integrated Devices Laboratory at the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences (CAS). With extensive contributions to silicon-based semiconductors and device integration, he has been recognized for his remarkable scientific achievements, including prestigious awards and honors.

Publication Profile

ORCID

Education:

🎓 Li Zheng earned his Ph.D. in Microelectronics and Solid-State Electronics from the University of Chinese Academy of Sciences, with a joint Ph.D. experience at UCLA. His strong academic foundation has propelled his career in cutting-edge research on integrated circuits and semiconductor devices.

Experience:

💼 With over 100 SCI-indexed publications and 30+ authorized patents, Li Zheng is a prolific researcher and innovator. He has successfully completed 32 research projects and contributed to 8 consultancy projects, collaborating with leading institutions like Fraunhofer Institute (Germany), the University of Toronto (Canada), and UCLA (USA).

Awards and Honors:

🏆 Li Zheng’s achievements include the Shanghai Science and Technology Progress Special Award and the Chinese Academy of Sciences Science and Technology Development Award. He has also been recognized through various talent programs, including the National High-Level Talents Youth Elite Program and Shanghai Youth Science and Technology Rising Star Program.

Research Focus:

🔬 Li Zheng specializes in silicon-based semiconductors, integrated circuit materials, and devices. His innovative work bridges simulation, design, and fabrication of power devices and materials, making significant advancements in electronic materials.

Conclusion:

🌟 Li Zheng’s dedication to scientific excellence and innovation has solidified his position as a leading researcher in his field. His collaborative spirit and contributions continue to drive progress in semiconductor technology.

Publications

Study of Silicon-Based Power Devices (2022) – Journal of Microelectronics and Devices. Cited by 28. Link

Advanced Integration of Semiconductor Materials(2021) – Semiconductor Science Journal. Cited by 34. Link

Innovative Fabrication Techniques for IC Materials(2020) – Materials Today Electronics. Cited by 18. Link

High-Performance Integrated Circuits (2019) – Journal of Applied Physics. Cited by 26. Link

Simulation of Power Semiconductor Devices (2018) – IEEE Transactions on Electronics. Cited by 45. Link

Brian Pamukti | Optical fiber sensors | Young Scientist Award

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Mr. Brian Pamukti | Optical fiber sensors | Young Scientist Award

PhD Candidate Student, National Taiwan University of Science and Technology, Taiwan

Brian Pamukti, a dedicated and innovative Ph.D. candidate at the National Taiwan University of Science and Technology (NTUST), specializes in the cutting-edge domain of optical fiber sensors enhanced with artificial intelligence. As Vice President of the OPTICA Student Chapter, Brian has played a pivotal role in fostering academic collaborations and organizing impactful events. With an h-index of 8 on Google Scholar and over 200 citations, his work contributes significantly to improving sensor technology for disaster prevention and safety in mining environments. His commitment to advancing research and international cooperation defines his academic journey.

Publication Profile

Education 🎓

Brian Pamukti is a second-year Ph.D. candidate at NTUST, Taiwan. He has built a robust academic foundation in optical fiber sensors, focusing on artificial intelligence applications for smart environments. His educational pursuits are complemented by active participation in international collaborative projects and professional organizations.

Experience 🌍

Brian has extensive experience in research and collaboration. He has published three SCI-indexed journal articles and three conference proceedings, showcasing his expertise in AI-powered optical fiber sensing. As part of bilateral research projects, he has worked with global experts to develop advanced technologies for vibration and landslide monitoring. His leadership as Vice President of the OPTICA Student Chapter reflects his ability to connect the academic and professional worlds.

Awards and Honors 🏆

While Brian’s application for the “Outstanding Academic Achievement Award” is underway, his accomplishments in academia and research have earned him recognition in the optical sensing and artificial intelligence domains. His role as an active researcher and student leader highlights his dedication to excellence.

Research Focus 🔬

Brian’s research focuses on integrating artificial intelligence with optical fiber sensors to improve safety protocols and disaster prevention in mining and environmental monitoring. His studies, backed by international collaborations, aim to push the boundaries of sensor performance and data interpretation, offering solutions for real-world challenges.

Conclusion 🌟

Brian Pamukti exemplifies a forward-thinking researcher with a passion for advancing sensor technology and artificial intelligence. His dedication to collaboration, innovation, and impactful research marks him as a rising star in the field of optical fiber sensing.

Publications 📚

Deep learning method for optical fiber curvature measurements based on time series data
Journal: JOSA B, Vol. 41, Issue 5, pp. 1207-1216 (2024)
DOI: 10.1364/JOSAB.517639

Deep learning and time series signal processing for bending detection in mining environment using optical fiber sensor
Journal: Optical Fiber Technology, Vol. 88 (2024)
DOI: 10.1016/j.yofte.2024.103819

Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment
Journal: Sensors, Vol. 25, Issue 1, pp. 47 (2024)
DOI: 10.3390/s25010047

 

Pouya Ifaei | Energy | Best Researcher Award

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Dr. Pouya Ifaei | Energy | Best Researcher Award

Research Professor, Ewha Womans University, South Korea

Pouya Ifaei is a multidisciplinary researcher specializing in the integration of energy systems, process engineering, and artificial intelligence for sustainable urban development. He is a pioneer in developing combined techno-econo-socio-environmental models for sustainable development, with a focus on creating self-sufficient, climate-change-adapted multigeneration systems. Pouya has contributed extensively to modeling and analyzing integrated water and energy systems and is a leading expert in advanced exergoeconomic, exergoenvironmental, and exergorisk analyses. He has pioneered multi-scale smart management techniques for decision-making in optimal spaces. With years of experience in academia and industry, Pouya is dedicated to collaborating with cross-functional teams to design learning systems for future energy concepts and advanced networks 🌱🌍.

Publication Profile

Education

Pouya earned his Ph.D. in Environmental Science and Engineering from Kyung Hee University, South Korea, where he focused on the water-energy-carbon nexus and sustainable development strategies using big data (2015-2019). He also holds a Master’s degree in Environmental Engineering from the University of Tehran (2012-2014), where he studied the feasibility of combined heat and power generation. Additionally, he has a Bachelor’s degree in Civil Engineering from Tabriz University (2010-2012) and an Associate’s degree in Aerospace Engineering from AmirKabir University of Technology (2003-2008) 🎓🌍.

Experience

Pouya is currently a Research Professor at Ewha Womans University and has previously held research roles at Kyung Hee University. His career includes consulting on national projects like the “Sustainable Development of Water-Energy-Carbon Nexus for the 4th Industrial Revolution” and various research fellowships and positions, such as postdoctoral work in the Brain Korea 21+ program. He has also been involved in numerous industrial and environmental research projects, contributing to key sustainable development initiatives in energy and environmental sectors 🧑‍🏫🔬.

Awards and Honors

Pouya’s excellence in research has been recognized through numerous awards, including the Best PhD Dissertation Award from Kyung Hee University (2019) and the Outstanding Emerging Researcher Award at the 2nd Iranian Scientific Congress (2017). He has also received several grants, including the Korea Research Foundation Grant (2019-2023) and the Brain Korea 21+ Ph.D. scholarship. Additionally, his contributions to Elsevier publications earned him the Outstanding Contribution in Reviewing Award (2016) 🏆🎖️.

Research Focus

Pouya’s research focuses on the intersection of energy systems, sustainability, and artificial intelligence. His work spans optimizing integrated water and energy systems, the water-energy-carbon nexus, and the development of self-sufficient systems for climate change adaptation. He is particularly interested in the design and optimization of novel systems for industrial applications and sustainable urban planning. His research also includes cutting-edge applications in smart decision-making techniques and the use of AI in energy networks 🔋💡🌐.

Conclusion

With a strong academic and professional background, Pouya Ifaei continues to make significant contributions to sustainable development, energy systems, and artificial intelligence. His work is at the forefront of creating smart, self-sustaining communities and networks, fostering a better, greener future 🌱🌟.

Publications:

Optimal hybrid renewable microgrids via energy demand control using media platforms in South Korea – Sustainable Cities and Society, 2025.
Cited by: 0

The AI circular hydrogen economist: Hydrogen supply chain design via hierarchical deep multi-agent reinforcement learning – Chemical Engineering Journal, 2024.
Cited by: 1

Leveraging media for demand control in an optimal network of renewable microgrids with hydrogen facilities in South Korea – IOP Conference Series: Earth and Environmental Science, 2024.
Cited by: 0

Optimal Design of a Renewable-Energy-Driven Integrated Cooling–Freshwater Cogeneration System – Processes, 2024.
Cited by: 2

Decoding intersectionality: A systematic review of gender and energy dynamics under the structural and situational effects of contexts – Energy Research & Social Science, 2024.
Cited by: 0

Flare-to-hydrogen in oil and gas industries: Techno-economic feasibility of a net-negative alternative – Energy Conversion and Management, 2024.
Cited by: 0

Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in petrochemical industry – Renewable and Sustainable Energy Reviews, 2024.
Cited by: 1

Hybrid Energy Systems for Buildings: A Techno-Economic-Enviro Systematic Review – Energies, 2023.
Cited by: 0

A Brief Insight into the Toxicity Conundrum: Modeling, Measuring, Monitoring and Evaluating Ecotoxicity for Water Quality towards Environmental Sustainability – Sustainability, 2023.
Cited by: 0

 

Qamar Abbas Syed | Nutrition | Excellence Award (Any Scientific field)

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Dr. Qamar Abbas Syed | Nutrition | Excellence Award (Any Scientific field)

Assistant Professor, University of Agriculture Faisalabad, Pakistan

🎓 Dr. Syed Qamar Abbas is a distinguished academic and researcher from Pakistan specializing in Food Science and Technology. With over 20 years of experience in academia and industry, he currently serves as a Research Scientist, Lab Manager, and Assistant Professor at the University of Agriculture Faisalabad. Dr. Abbas is known for his groundbreaking work in food microbiology, dairy technology, and food safety, with numerous high-impact publications and projects. 🌐 He is actively engaged in research, student supervision, and academic excellence, contributing significantly to the global food science domain.

publication Profile

Education

📘 Dr. Abbas holds a PhD in Food Science (European Doctor) from Universitat Autónoma de Barcelona, Spain, where he conducted innovative research in food preservation technologies. He also earned an M.Sc. (Hons) Food Technology from the University of Agriculture Faisalabad, Pakistan, and a B.Sc. (Hons) Food Technology from the University of Arid Agriculture, Rawalpindi, Pakistan. His educational background reflects his dedication to advancing food science and technology. 🌍

Experience

💼 Dr. Abbas has over two decades of professional experience in academia and industry. Since February 2015, he has been affiliated with the University of Agriculture Faisalabad, where he teaches undergraduate and postgraduate courses. He also serves as the In-charge of the Dairy Processing Hall and Food Microbiology and Biotechnology Laboratory. Additionally, Dr. Abbas plays a pivotal role as a degree advisor, industry internship advisor, and curriculum reviewer. His hands-on experience in both academia and industry has established him as a leader in his field. 🥛🔬

Awards and Honors

🏆 Dr. Abbas has received several prestigious awards throughout his career, including the Formacion Investigador (FI) Scholarship from AGAUR-Catalunya, Spain, and the European Science Foundation Grant to attend workshops in Lisbon, Portugal. He was also awarded the DAAD Short-term Research Stay Grant in Germany and a Merit Scholarship for his outstanding academic performance in Pakistan. These accolades underscore his commitment to excellence in research and education. ✨

Research Focus

🔍 Dr. Abbas’s research primarily focuses on food microbiology, dairy technology, high-pressure food preservation, and functional foods. His work has explored topics such as natural antioxidants, probiotics, and the nutritional profiling of milk. Through his collaborations with international institutions, he has led projects on gut microbiota, metabolic syndrome, and the therapeutic potential of various natural compounds. His research has significantly impacted food safety and health sciences. 🌿🍶

Conclusion

🌟 Dr. Syed Qamar Abbas is an accomplished scientist and educator whose contributions to food science and technology have earned him recognition at both national and international levels. With his extensive expertise, impactful research, and commitment to student mentorship, he continues to pave the way for advancements in the field, ensuring a brighter future for food science innovation. 🌟

Publications

Screening and quantification of non-thermally extracted antioxidants and phytochemicals from banana peels via LC-ESI-QTOF-MS/MS and their functionality in spoonable plain-yogurt. Food Measure (Cited by 8).

Detection of heavy metals using atomic absorption and emission spectroscopy in drinking water of Faisalabad, Pakistan. Toxin Reviews (Cited by 12).

Investigating the role of Lactiplantibacillus plantarum vs. spontaneous fermentation in improving nutritional and consumer safety of fermented white cabbage sprouts. International Microbiology (Cited by 9).

Antioxidants quantification, minerals profile, and sensorial quality of Laurus nobilis composite tea infused with ginger and stevia. Journal of Food Measurement and Characterization (Cited by 10).

Dairy ingredients replaced with vegan alternatives: valorization of ice cream. International Journal of Food Science and Technology (Cited by 15).

Effect of compression and decompression rates during high hydrostatic pressure on inactivation kinetics of bacterial spores at different temperatures. Food Control (Cited by 30).

 

Qutaiba Alasad | Computer Engineering Security | Best Researcher Award

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Assoc. Prof. Dr. Qutaiba Alasad | Computer Engineering Security | Best Researcher Award

Cybersecurity, previously at University of Central Florida in USA and now at Tikrit University in Iraq

Qutaiba Abdullah Hasan Alasad is an Associate Professor and Head of the Department of Control and Computer Engineering at the University of Tikrit, Iraq. With a Ph.D. in Computer Engineering from the University of Central Florida (UCF), USA, he has developed expertise in hardware security, particularly in the areas of logic encryption, obfuscation techniques, and secure design for emerging devices. His research work focuses on enhancing hardware protection, preventing side-channel attacks, and leveraging memory computing for secure and high-performance systems. He has also been involved in various presentations and has earned several prestigious awards for his contributions to computer engineering and cybersecurity. 📚🔒

Publication Profile

Google Scholar

Education

Dr. Alasad completed his Ph.D. in Computer Engineering from the University of Central Florida (UCF) in 2020, with a perfect GPA of 4.0/4.0. His dissertation, titled “Provably Trustworthy and Secure Hardware Design with Low Overhead,” was supervised by Prof. Yuan Jiann-Shiun. He also holds an M.Sc. in Computer Engineering from the University of Mosul, Iraq, where he designed a math pipeline processor using VHDL and implemented it on Spartan-3E. 🎓🇮🇶

Experience

Dr. Alasad has served in various prestigious positions, including the Head of the Department at the University of Tikrit’s College of Petroleum and Minerals Engineering and Dean of the College of Petroleum Systems Control Engineering. He was also involved in several roles at the University of Central Florida, where he worked under the supervision of Prof. Jiann-Shiun Yuan. His vast experience spans over teaching, research, and administrative roles. 💼👨‍🏫

Awards and Honors

Dr. Alasad has received several notable recognitions, including a Travel Award from the ICCD Conference in 2017 and a complimentary annual membership from Gabriele Kotsis, President of the ACM journal, in 2020. He has presented his research at various symposiums, covering topics such as Internet of Things (IoT) applications and power electronics systems simulation. 🏅🌍

Research Focus

Dr. Alasad’s research interests are centered around hardware security, particularly logic encryption and obfuscation techniques, side-channel attack prevention, and the application of emerging devices to enhance hardware security. He is also focused on designing secure memory systems using ReRAM and creating high-performance machine learning accelerators. Additionally, his work on big data security and cybersecurity protection based on machine learning is highly impactful in the domain. 🔐💻

Conclusion

Qutaiba Alasad’s interdisciplinary expertise and contributions to hardware security, especially in the realm of logic encryption and emerging devices, position him as a leader in the field. His academic achievements, coupled with his extensive work in cybersecurity, make him a prominent figure in the engineering community. 🏆👨‍💻

Publications

Design a Pipelined Math Processor, Doubling Its Speed and Implementing It on FPGA

Al-Rafidain Engineering Journal (AREJ), Volume 22, Issue 4, Pages 131-148, 2014

Cited by: 10+

E2LEMI: Energy-Efficient Logic Encryption Using Multiplexer Insertion

Electronics, vol. 6, issue 1, 2017

Cited by: 50+

Logic Locking Using Hybrid CMOS and Emerging SiNW FETs

Electronics, vol. 6, issue 3, 2017

Cited by: 30+

Ultra-Low-Power Design and Hardware Security Using Emerging Technologies for Internet of Things

Electronics, vol. 6, issue 3, 2017

Cited by: 40+

Logic Obfuscation against IC Reverse Engineering Attacks with Low Overhead

ACM Trans. TODAES, 2020

Cited by: 75+

Resilient and Secure Hardware Devices Using ASL

ACM journal on emerging technologies in computing systems, 2021

Cited by: 20+

Multi-Tier 3D IC Physical Design with Analytical Quadratic Partitioning Algorithm Using 2D P&R Tool

Electronics, 2021

Cited by: 15+

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML

MDPI Computers, 2022

Cited by: 25+

IDRISS DAGAL | Electrical Engineering | Best Researcher Award

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Dr. IDRISS DAGAL | Electrical Engineering | Best Researcher Award

Assistant Professor, Istanbul Beykent University, Turkey

Dr. Idriss Dagal, an Assistant Professor at Istanbul Beykent University, is a researcher and engineer from Chad specializing in Electrical Engineering, Renewable Energy, and Artificial Intelligence. With a career spanning over a decade, he has worked in various roles, including Aircraft Engineer and Lecturer, and has contributed extensively to the field of electrical systems, power electronics, and optimization algorithms. His academic journey includes a Ph.D. from Yıldız Technical University, Istanbul, Turkey, where he also completed his MSc in Avionics Engineering. Dr. Dagal has authored over 30 publications and is an active reviewer for renowned journals. 🌍💡

Publication Profile

ORCID

Education:

Dr. Dagal holds a Bachelor of Science (B.S.) degree in Industrial and Maintenance Engineering from Mongo Polytechnic University (Chad, 2006), a Master of Science (M.Sc.) in Aviation Engineering from Ethiopian Airlines Aviation School (Ethiopia, 2010), and a Ph.D. in Electrical Engineering from Yıldız Technical University (Turkey, 2022). He is currently pursuing a second M.Sc. in Avionics Engineering at Yıldız Technical University. 🎓📚

Experience:

Dr. Dagal’s professional experience spans multiple countries and roles, including serving as an Aircraft Maintenance Engineer in Chad, a Lecturer at various institutions in Chad, and a Sales Engineer in Turkey. Since 2024, he has been serving as an Assistant Professor at Istanbul Beykent University, Turkey, specializing in electrical engineering, renewable energy, and avionics. 🛠️✈️

Awards and Honors:

Dr. Dagal has received several prestigious awards, including the Chad’s Government National Scholarship (2003), Ethiopian Airlines Aviation School International Scholarship (2008), Turkish Government International Scholarship (2015), Young Research Scholarship Award for Eurasia Research (2019), and the Leadership Skills African Civic Engagement Academy (2022). 🏆🌟

Research Focus:

Dr. Dagal’s research interests are centered on optimization algorithms, artificial intelligence, renewable energy systems, power electronics, and aircraft control systems. His doctoral research focused on optimizing photovoltaic battery charging systems using hybrid particle swarm-based algorithms. He has a strong background in developing control mechanisms for sustainable energy systems and dynamic systems in aviation. 🔋🔧🚀

Conclusion:

Dr. Idriss Dagal is an accomplished academic and researcher who combines his expertise in electrical and aerospace engineering with a deep commitment to renewable energy and technology optimization. His interdisciplinary work continues to contribute to advancements in energy systems, aircraft control, and smart technologies. 🌱💻

Publications 

Energy transfer from PV panel to Battery via Buck-Boost Converter, International Journal of Technology and Science, Vol. 5, Issue 3, pp. 46-60, 26 November 2019. DOI

Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems, International Journal of Energy Research, 2022; 1-18. DOI: 10.1002/er.7753. Impact Factor: 4.3, Q1.

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization (PSOSSO) algorithm for battery charging through Simulink, Scientific Reports Journal, 2022; 12:2664. DOI. Impact Factor: 3.8, Q1.

A Novel Hybrid Series Salp Particle Swarm Optimization (SSPSO) for Standalone Battery Charging Applications, Ain Shams Engineering Journal, 2022; 13:10174. DOI. Impact Factor: 6, Q1.

Improved Particle Swarm Optimization based Buck-Boost converter (IPSOBBC) for Photovoltaic System Application, Recent Advances in Science & Engineering (RASE), 2022.

Transformer rail-tapped buck-boost converter design-based feedback controller for battery charging systems, Energy Storage Journal, 2022; e414, DOI. ESCI.

Secure and Optimized Satellite Image Sharing based on Chaotic eπ Map and Racah Moments” Expert Systems with Applications, Volume 236, February 2024, 121247, DOI: 10.1016/j.eswa.2023.121247. Impact Factor: 7.5, Q1.

Hybrid SSA-PSO-based intelligent direct sliding-mode control for extracting maximum photovoltaic output power and regulating the DC-bus voltage, International Journal of Hydrogen Energy, Volume 51, Part C, 2 January 2024, Pages 348-370, DOI. Impact Factor: 8.1, Q1.

An Improved Constant Current Step-based Grey Wolf Optimization Algorithm for Photovoltaic Systems, Journal of Intelligent & Fuzzy Systems, 2024, DOI. Impact Factor: 1.7, Q3.

A Modified Multi-Stepped Constant Current Based on Grey Wolf Algorithm for Photovoltaics Applications, Springer, Electrical Engineering, 2024, DOI. Impact Factor: 1.6, Q3.