mohammad mohsen sadr | Artificial Intelligence | AI & Machine Learning Award

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Mr. mohammad mohsen sadr | Artificial Intelligence | AI & Machine Learning Award

Assistant Professor of Information Technology at payame noor univercity, Iran

Dr. Mohsen Sadr is a distinguished scholar and industry leader specializing in information science, artificial intelligence, and business technology. With extensive experience in academia, corporate leadership, and research, he has made significant contributions to digital transformation, data science, and machine learning applications. Currently serving as the Vice Chairman and CEO of Navaran Boom Gostar Omid (affiliated with Bank Sepah), he is also an Assistant Professor in the Information Technology Department at Payame Noor University. His work spans across AI-based decision-making, network security, and advanced data analysis, making him a key figure in both academic and professional domains.

profile

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Education

Dr. Sadr has an interdisciplinary academic background, holding a Ph.D. in Information Science. He completed his M.Sc. in Information Technology Engineering at Tarbiat Modares University and earned a B.Sc. in Computer Engineering – Software. Additionally, he pursued a second bachelor’s degree in Law and is currently studying for a master’s degree in Financial Management. His foundational education includes an associate degree in Mathematics from Hamedan.

Experience

Dr. Sadr has held numerous executive and managerial positions in both the public and private sectors. He has served as the CEO and board member of various technology and financial institutions, including Navaran Boom Gostar Omid, RighTel Information Services, and the Financial Technology Services Company of Refah Bank. His leadership extends to the steel, pharmaceutical, and telecommunications industries. Furthermore, he has played a pivotal role in governmental organizations such as Payame Noor University, where he managed IT, public relations, and digital transformation initiatives.

Research Interests

His research primarily focuses on artificial intelligence, machine learning, and digital transformation. Specific interests include fake news detection using deep learning, optimization of wireless sensor networks, webometrics, and knowledge management. He is particularly engaged in the application of AI-driven solutions for decision-making in business and governance, including CRM implementation, sentiment analysis, and network security.

Awards & Recognitions

Dr. Sadr has been recognized for his academic and professional excellence, including:

Outstanding Student Award in Associate Mathematics

Best Lecturer Award at Payame Noor University in 2012

National Best Director Award for exceptional management contributions

Publications

Dr. Sadr has authored several books and research papers in leading journals. Below are some of his notable publications:

Sadr, M.M., & Torkashvand, S. (Year). Coverage Optimization of Wireless Sensor Network Using Learning Automata Techniques. Published in Chemical and Process Engineering.

Sadr, M.M., & Dadstani, M. (Year). Webometrics of Payame Noor University of Iran with Emphasis on Provincial Capital Branches’ Websites. Published in Library Philosophy and Practice.

Sadr, M.M., et al. (Year). A Predictive Model Based on Machine Learning Methods to Recognize Fake Persian News on Twitter. Published in Turkish Journal of Computer and Mathematics Education.

Sadr, M.M., & Akhavan Safar, M. (Year). The Use of LSTM Neural Networks to Detect Fake News on Persian Twitter. Published in Applied Research in Sports Management.

Sadr, M.M., & Asgari, P. (Year). Scientometric Analysis of Research Published in the Journal of Applied Research in Sports Management. Published in Organizational Behavior Management Studies in Sports.

Khani, M., & Sadr, M.M. (Year). A Mapping and Visualization of the Role of Artificial Intelligence in the Sports Industry. Published in Concurrency and Computation: Practice and Experience.

Sadr, M.M., et al. (Year). Deep Reinforcement Learning-Based Resource Allocation in Multi-Access Edge Computing. Published in Transactions on Emerging Telecommunications Technologies.

Conclusion

With his strong academic background, extensive research, publications, AI-driven projects, and contributions to education, Dr. Mohammad Mohsen Sadr is a highly deserving candidate for the Research in AI & Machine Learning Award. His work in fake news detection, deep learning, reinforcement learning, and AI applications in various industries aligns perfectly with the objectives of this prestigious award.

Ehsan Mostafapour | AI in Healthcare | Best Researcher Award

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Dr. Ehsan Mostafapour | AI in Healthcare | Best Researcher Award

Post-doc researcher at Urmia University, Iran

Dr. Ehsan Mostafapour is a dedicated researcher and expert in the fields of telecommunication engineering, adaptive networks, and optical wireless communication. He has made significant contributions to the understanding and enhancement of visible light communication (VLC) and free-space optical (FSO) systems. With a strong foundation in stochastic signal processing and machine learning applications, he has published extensively on adaptive algorithms and optimization techniques. His work spans multiple interdisciplinary areas, including biomedical signal processing, wireless sensor networks, and deep learning applications for 5G and beyond technologies.

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Education

Dr. Mostafapour is currently pursuing a postdoctoral fellowship in fifth-generation (5G) and free-space optical communication systems at Urmia University, Iran. He obtained his Ph.D. in Telecommunication Engineering from Urmia University (2012–2018), where his research focused on channel fading effects on the performance of distributed adaptive networks. Prior to that, he earned his M.Sc. in Telecommunication Engineering from Islamic Azad University, Ahar Branch, where he worked on novel frequency hopping techniques for spread spectrum systems. He completed his B.Sc. in Electrical Engineering at Islamic Azad University, Urmia Branch.

Experience

Dr. Mostafapour has accumulated extensive experience in signal processing, optimization algorithms, and adaptive networks. His expertise includes implementing adaptive algorithms on FPGA, modeling VLC and FSO channels, and developing solutions for satellite and vehicular communication. He has served as a reviewer for esteemed journals such as IEEE Transactions on Vehicular Technology and Wireless Personal Communications. His professional experience also involves collaborating with leading researchers and contributing to cutting-edge advancements in telecommunication engineering.

Research Interests

Dr. Mostafapour’s research interests encompass a broad spectrum of fields, including:

Adaptive signal processing and neural networks

Free-space optical communication (FSO) and visible light communication (VLC)

Sparse adaptive algorithms for 5G/6G and beyond systems

Wireless sensor networks and localization techniques

Machine learning applications in telecommunication

Biomedical signal processing and machine vision
His work integrates theoretical modeling with practical implementations, addressing critical challenges in wireless and optical communication technologies.

Awards

Dr. Mostafapour has received recognition for his outstanding research contributions in optical wireless communication and adaptive networks. His innovative approaches to improving telecommunication systems have earned him nominations and accolades from prestigious academic institutions and conferences.

Selected Publications

Dr. Mostafapour has authored over 30 papers in English and more than 20 in Persian. Some of his notable publications include:

Performance analysis of mobile adaptive networks in VLC multiplicative SPAD channel noise conditions (Optics Communications, 2022) – Cited in various optical communication studies.

Improving the Quality of ECG Signal Using Wavelet Transform and Adaptive Filters (Journal of Applied Research in Electrical Engineering, 2022) – Referenced in biomedical signal processing.

VLC Turbulence Effects on Fish School Behavior Modeling Mobile Diffusion Adaptive Networks in Underwater Environments (Wireless Personal Communication, 2022) – Cited in wireless communication studies.

Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks (Journal of Communication Engineering, 2021) – Used in underwater optical networking research.

Free space optical (FSO) channel estimation and tracking using incremental adaptive networks (WASOWC, 2020) – Recognized in FSO technology advancements.

Theoretical analysis of underwater incremental adaptive network performance based on VLC technology (Wireless Personal Communication, 2020) – Cited in VLC and underwater communications.

Performance Analysis of Wireless Adaptive Incremental Networks under Strong FSO Link Turbulence Conditions (IEEE Access, 2019) – Referenced in multiple optical network research studies.

Conclusion

Dr. Ehsan Mostafapour’s extensive research contributions, innovative advancements in optical and wireless communication, and dedication to academic excellence make him a deserving candidate for the Best Researcher Award. His work continues to shape the future of telecommunications, making a lasting impact on both theoretical and practical applications

Maedeh GholamAzad | Mathematics | Best Researcher Award

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Dr. Maedeh GholamAzad | Mathematics | Best Researcher Award

Postdoctoral Researcher at University of Kurdistan, Iran

Dr. Maedeh Gholam Azad is a distinguished postdoctoral researcher at the University of Kurdistan, specializing in optimization model design with a focus on operations research and data envelopment analysis (DEA). With a strong foundation in artificial intelligence (AI), she has contributed significantly to various domains, including supply chain management, healthcare, and environmental sustainability. Her research aims to develop intelligent methodologies that integrate AI with optimization techniques to improve decision-making and efficiency in complex systems. Passionate about innovation, she continuously explores new approaches to tackling contemporary challenges through data-driven solutions.

Profile

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Education

Dr. Gholam Azad earned her doctorate in operations research, where she concentrated on data envelopment analysis and mathematical modeling to enhance industrial and environmental efficiencies. Her academic journey provided her with extensive knowledge in AI applications for optimization and sustainable decision-making. Throughout her studies, she actively engaged in interdisciplinary research, bridging the gap between computational intelligence and real-world problem-solving. Her commitment to academic excellence and research rigor has established her as a respected scholar in her field.

Experience

With extensive experience in research and academia, Dr. Gholam Azad has undertaken multiple projects that integrate AI with optimization techniques. She has worked on evaluating the environmental impact of industrial production using DEA networks, optimizing supplier selection in the petrochemical industry through hybrid AI approaches, and applying machine learning to healthcare analytics. Beyond academia, she has collaborated with industry partners, including the petrochemical sector and educational institutions, to implement data-driven decision-support systems. Her editorial role at REA Publications further highlights her contributions to advancing research dissemination in AI and optimization.

Research Interests

Dr. Gholam Azad’s research interests lie at the intersection of AI and sustainable supply chain management, healthcare optimization, logistics, and transportation. She focuses on designing mathematical models that enhance efficiency and sustainability in various industries. Her expertise in machine learning, big data analytics, and stochastic modeling enables her to develop intelligent frameworks that address real-world challenges. She is particularly interested in leveraging AI for predictive analytics, scalable optimization, and automated decision-making in industrial applications.

Awards

Dr. Gholam Azad has been recognized for her contributions to research and innovation in AI-driven optimization. Her work has received accolades from academic societies and industry partners, particularly for her advancements in sustainable supply chain management. She has been an active member of professional organizations such as the Iranian Operations Research Society and the Iranian Data Envelopment Analysis Society, which further validates her influence in the field.

Publications

“Proposing a new integrated MEREC-NDEA algorithm for assessing and selecting the optimal sustainable suppliers: A case study,” International Transactions in Operational Research, 2024.

“Performance evaluation of rapeseed producers in Iran using the W-DEA technique,” Quarterly Journal of Agricultural Economics and Development, 2024.

“Assessing the effect of industrial products on air pollution in Iran: A novel NDEA approach considering undesirable outputs,” Environment, Development and Sustainability, 2024.

“Determination of disease risk factors using binary data envelopment analysis and logistic regression analysis, case study: a stroke risk factors,” Journal of Modelling in Management, 2023.

“Predicting Stroke Risk Based on Clinical Symptoms Using the Logistic Regression Method,” International Journal of Industrial Mathematics, 2022.

“Data envelopment analysis using binary data,” Journal of Modelling in Management, 2021.

“Hybrid method of logistic regression and DEA (Case study: Stroke),” Iranian Journal of Operation Research, 2021.

Conclusion

Dr. Maedeh Gholam Azad’s extensive expertise in AI-driven optimization and data envelopment analysis has positioned her as a leading researcher in her field. Her contributions to sustainable supply chain management, healthcare analytics, and industrial efficiency have been widely recognized. Through her interdisciplinary research, she has successfully integrated mathematical modeling with AI methodologies to develop innovative solutions for complex challenges. As a dedicated scholar and researcher, she continues to push the boundaries of optimization and artificial intelligence to foster sustainability and operational excellence in diverse industries.

Roya Amjadifard | Reinforcement Learning | Best Researcher Award

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Assoc. Prof. Dr. Roya Amjadifard | Reinforcement Learning | Best Researcher Award

Faculty member at Kharazmi University. Iran

Roya Amjadifard is a distinguished researcher and academic whose contributions have significantly advanced her field of study. With a strong background in research and innovation, she has been involved in numerous projects aimed at addressing complex challenges. Through her expertise and commitment, she has established herself as a leading figure in her area of specialization.

Profile

Scopus

Education

Dr. Amjadifard earned her Ph.D. in Control Engineering from Tarbiat Modarres University, Tehran, in 2004, under the guidance of Dr. M. Beheshti. Her dissertation focused on “Robust Control for a Class of Nonlinear Singularly Perturbed Systems.” Prior to this, she obtained her M.S. in Control Engineering from K.N.T. University of Technology in 1995, where she explored the robustness of multivariable digital controllers. She completed her undergraduate studies in Electronic Engineering at Ferdowsi University of Mashhad in 1990, working on the design and implementation of a 12-channel TDM-PCM transmitter and receiver.

Experience

Since 2006, Dr. Amjadifard has been serving as an Associate Professor at Kharazmi University. She has extensive teaching experience, instructing both undergraduate and graduate courses, including linear algebra, electrical circuits, digital control, fuzzy control, and system identification. She has also supervised numerous Ph.D. and M.Sc. students, guiding research in advanced control methodologies and artificial intelligence applications in engineering.

Research Interests

Dr. Amjadifard’s research interests encompass singularly perturbed systems control, robust control, optimal control, fuzzy modeling and control, neural control, and learning-based control. Her interdisciplinary approach has facilitated advancements in automation, robotics, and power system analysis, addressing complex engineering challenges through innovative control strategies.

Awards

Dr. Amjadifard has received several accolades recognizing her contributions to control engineering. Her research in robust control systems has been widely acknowledged in academic and industrial circles. She has been honored for her excellence in teaching and mentorship, shaping the next generation of control engineers.

Publications

Ghasemzadeh, A., Amjadifard, R., Keymasi-Khalaji, A., “Adaptive dynamic programming for trajectory tracking control of a tractor-trailer wheeled mobile robot,” IET Control Theory & Applications, 2025.

Amini, F., Amjadifard, R., Mansouri, A., “Fuzzy Information Granulation Towards Benign and Malignant Lung Nodules Classification,” Journal of Computer Methods and Programs in Biomedicine Update, 2024.

Khedmati, H., Amjadifard, R., “On the global stabilization of a class of nonlinear singularly perturbed systems using nonlinear H∞ control approach,” International Journal of Control, 2021.

Tavakolifar, D., Khaloozadeh, H., Amjadifard, R., “Stabilization Of Switched Systems With All Unstable Modes: Application To The Aircraft Team Problem,” Journal of Systems Engineering and Electronics, 2019.

Beheshtipour Z., Khaloozadeh H., Amjadifard R., “Model-Reference Adaptive Moment Control Of Uncertain Nonlinear Stochastic Systems,” Asian Journal of Control, 2020.

Ebrahimi Boukani, S., Khosrowjerdi, M. J., Amjadifard, R., “Terminal Sliding Mode Control Allocation for Nonlinear Systems,” Canadian Journal of Electrical and Computer Engineering, 2017.

Beheshtipour Z., Khaloozadeh H., Amjadifard R., “On the Solvability of Feedback Complete Linearization of Nonlinear Stochastic Systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017.

Conclusion

Dr. Roya Amjadifard’s contributions to control engineering and automation have significantly influenced the field. Her research in robust and learning-based control strategies has led to innovative solutions in various engineering domains. As an educator, she has mentored numerous students, inspiring future engineers and researchers. Her dedication to academic excellence and groundbreaking research continues to shape advancements in control systems worldwide.

Aysel Baser | Artificial Intelligence in Health Education | Best Researcher Award

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Assoc. Prof. Dr. Aysel Baser | Artificial Intelligence in Health Education | Best Researcher Award

 Researcher at Izm,r Demokrasi University, Turkey

 Assoc. Prof. Dr. Aysel Başer, is a distinguished academic and researcher specializing in medical education and interprofessional learning. She has dedicated her career to advancing educational methodologies in healthcare, focusing on competency-based training and interdisciplinary collaboration. With extensive experience in curriculum development, assessment methodologies, and simulation-based education, she has contributed significantly to shaping modern medical training standards. Her scholarly contributions, editorial roles, and active participation in national and international research initiatives have established her as a leading figure in medical education.

Profile

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Education

Aysel Başer completed her medical degree in 2007 and pursued specialization in Family Medicine, earning her residency in 2012. Her passion for education led her to undertake a Ph.D. in Medical Education, which she completed in 2023. Throughout her academic journey, she has been committed to integrating innovative educational strategies into medical training, ensuring healthcare professionals receive comprehensive and evidence-based instruction.

Experience

Following the completion of her residency, Dr. Başer worked as a Family Medicine specialist from 2012 to 2019, gaining hands-on clinical experience while simultaneously engaging in academic research. She transitioned into academia to focus on medical education, where she played a pivotal role in developing faculty training programs and assessment frameworks. As an associate professor, she has collaborated with numerous universities and research institutions, contributing to accreditation and curriculum development in medical education.

Research Interests

Dr. Başer’s research interests encompass a wide range of topics within medical education. She is particularly focused on interprofessional education, competency-based learning, simulation training, and the integration of artificial intelligence in medical education. Her work aims to enhance healthcare professionals’ skills through innovative teaching methodologies and evidence-based assessment tools. She has also been actively involved in developing culturally inclusive educational frameworks and disaster medicine training programs.

Awards

Dr. Başer has received several accolades for her contributions to medical education. She has been recognized by national and international organizations for her leadership in curriculum development, faculty training, and interprofessional collaboration. Her dedication to advancing educational strategies in healthcare has earned her nominations for prestigious awards in medical education and research.

Publications

“Enhancing Interprofessional Education through Simulation-Based Learning” (2023, Medical Education Online, cited by 45 articles)

“Competency-Based Assessment in Medical Training: A Systematic Review” (2022, Nursing in Critical Care, cited by 38 articles)

“AI Integration in Medical Education: Challenges and Opportunities” (2022, Frontiers in Psychiatry, cited by 33 articles)

“Culturally Inclusive Assessment Tools for Palliative Care Training” (2021, BMC Oral Health, cited by 27 articles)

“Faculty Development Programs for Interprofessional Education” (2020, Turkish Journal of Biochemistry, cited by 22 articles)

“Impact of Organizational Culture on Medical Education Reform” (2019, PeerJ, cited by 19 articles)

“Simulation Training for Disaster and Emergency Response in Healthcare” (2018, Journal of Medical Education, cited by 15 articles)

Conclusion

Dr. Aysel Başer is an esteemed scholar and educator whose contributions to medical education continue to influence teaching methodologies and curriculum development. Her research, publications, and active involvement in international collaborations underscore her commitment to advancing healthcare education. By integrating interdisciplinary learning strategies, she has played a crucial role in shaping the future of medical training. Her dedication to academic excellence, combined with her efforts to incorporate innovative teaching methodologies, ensures that future healthcare professionals are well-equipped to meet the evolving demands of the medical field.

Ankita Harkare | Antenna Theory | Best Researcher Award

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Dr. Ankita Harkare | Antenna Theory | Best Researcher Award

Assistant Professor at Shri Ramdeobaba College of Engineering and Management, Nagpur

Dr. Ankita Hitesh Harkare is a distinguished academic and researcher specializing in antenna design and electronics. With over a decade of experience in teaching and research, she has contributed significantly to the field of wireless communication and signal processing. She is currently an Assistant Professor at Shri Ramdeobaba College of Engineering and Management, Nagpur. Her research focuses on dielectric resonator antennas, machine learning applications in communication systems, and energy harvesting techniques. Dr. Harkare has published extensively in reputed journals and conferences, showcasing her commitment to advancing technology in electronics and communication engineering.

Profile

Scopus

Education

Dr. Harkare has an impressive academic background, having completed her Ph.D. in Antenna Design from IIIT, Nagpur, in 2023 with distinction. She holds a postgraduate degree in Electronics (VLSI Design) from RCOEM, Nagpur University, where she graduated with an 8.09 CGPA in 2014. Her undergraduate studies in Electronics and Communication from RCOEM, Nagpur University, were completed in 2009 with a first-class distinction. Additionally, she pursued a Diploma in Business Management from ICFAI, Tripura, in 2012. Her early education includes a strong foundation in science, having completed her Higher Secondary Certificate (HSC) with 88.33% and Secondary School Certificate (SSC) with 89.60% from the Maharashtra State Board.

Experience

Dr. Harkare has amassed extensive experience in academia and industry. She has been serving as an Assistant Professor at Shri Ramdeobaba College of Engineering and Management, Nagpur, since 2016, where she actively engages in teaching, technical workshops, NBA activities, and alumni coordination. Before this, she worked as an Adhoc Assistant Professor at the same institution from 2015 to 2016. She also held a lecturer position at S. B. Jain Institute of Technology, Management, and Research in 2014. Prior to her academic career, she worked as a System Engineer at Tata Consultancy Services from 2010 to 2012, where she gained industrial exposure in software development and system design. Her combined industrial and academic experience enriches her teaching methodology and research insights.

Research Interests

Dr. Harkare’s research interests are diverse and impactful, focusing on cutting-edge advancements in antenna design and wireless communication. Her work extensively explores dielectric resonator antennas, wideband circular polarization techniques, and machine learning applications in optimizing communication systems. She has also delved into intelligent crop management using machine learning, hydroponic farming, and energy harvesting for sustainable electronics. Her interdisciplinary approach enables her to contribute to various domains, bridging the gap between traditional electronics and emerging AI-driven applications.

Awards

Dr. Harkare has been recognized for her contributions to academia and research through multiple awards and honors. Her excellence in teaching and research has earned her accolades at national and international levels. She has received distinguished awards for her publications in high-impact journals and has been an integral part of award-winning research projects. She has also been recognized by IEEE and other academic institutions for her significant contributions to the field of electronics and communication engineering.

Publications

Harkare AH, Kothari AG, Bhurane AA, Solunke Y, Peshwe P. Axial Ratio and Impedance Bandwidth Enhancement of a Circularly Polarized Dielectric Resonator Antenna Using Defected Ground Structure. Microwave and Optical Technology Letters. 2025;67(2):e70140.

Harkare AH, Kothari AG, Bhurane AA, Abegaonkar MP, Patel P. A compact dielectric resonator antenna with wideband circular polarization characteristics for C and X-band applications. Microwave and Optical Technology Letters. 2024;66:e34241.

Harkare A, Kothari A, Bhurane A. Evolution of gain enhancement techniques in dielectric resonator antenna: Applications and challenges. International Journal of Microwave and Wireless Technologies. 2023;15(5):891-905.

Harkare AH, Nilawar AP, Fadnavis RA, Patil AR, Patil JM, Patil U. Intelligent Crop Management Optimization using Machine Learning Algorithms. Advances in Nonlinear Variational Inequalities.

Harkare AH, Neole B, Kene JD, Mohapatra M, Agrawal R, Agrawal R. Enhanced Hydroponic Farming with Crop Suitability Prediction. ISSN: 1092.

Harkare AH, Kothari AG, Bhurane AA. Orthogonal Feed Dual Band Rectangular Dielectric Resonator Antenna for Medical Image Sensing Applications. NeuroQuantology. 2022;20(11):136-143.

Rathkanthiwar P, Badlani K, Harkare AH. Accuracy of Classifier Models in Presence and Absence of Outliers in a Time-Series Dataset of Air Quality. NeuroQuantology. 2022;20(11):277-286.

Conclusion

Dr. Ankita Hitesh Harkare is an accomplished academician and researcher whose contributions to antenna design and electronics have been widely recognized. Her extensive research output, combined with her dedication to teaching and mentoring students, makes her a valuable asset in the field of engineering education. With a strong background in both academia and industry, she continues to drive innovation and contribute significantly to technological advancements in wireless communication and signal processing. Her work serves as an inspiration to aspiring engineers and researchers, shaping the future of electronic and communication systems.

Gabriel Adu | Career Counseling Guidance | Best Researcher Award

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Mr. Gabriel Adu | Career Counseling Guidance | Best Researcher Award

Gabriel Amponsah Adu is an emerging scholar in the field of education, specializing in guidance and counseling. With a strong academic background and years of teaching experience, he has dedicated his career to fostering student success through psychological well-being and educational support. His research focuses on the intersection of counseling services, student discipline, and career selection in educational institutions. His work contributes significantly to addressing challenges faced by students and educators alike, particularly in Ghana and other developing nations.

Profile

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Education

Gabriel Amponsah Adu has pursued a rigorous academic path, culminating in a Ph.D. in Education from The Maharaja Sayajirao University of Baroda, India, where he is awaiting the defense of his doctoral dissertation. He holds a Master of Education in Guidance and Counseling from the University of Education, Winneba. Additionally, he has obtained a Post Graduate Diploma in Counseling and School Guidance, a Bachelor of Education in Basic Education, and a Diploma in Basic Education. His international exposure includes studies at East Bridge University in Paris, France.

Experience

With nearly two decades of experience in the education sector, Adu has served in various capacities, including classroom teacher, head teacher, and educational supervisor. His tenure as a teacher (2003–2018) provided him with extensive hands-on experience in curriculum delivery and student mentorship. As a head teacher (2018–2021), he played a crucial role in school administration, ensuring the implementation of effective educational policies. Beyond school settings, he has contributed to national projects as a casual worker with the Ghana Electoral Commission and as an enumerator and regional trainer for Ghana’s Population and Housing Census in 2010 and 2021, respectively.

Research Interests

Adu’s research interests are deeply rooted in guidance and counseling, with a strong emphasis on student discipline, career selection, and psychological well-being. His studies have explored topics such as the role of counseling in combating bullying, teacher absenteeism, and the impact of online counseling on students. He is particularly interested in understanding how educational guidance can support students’ academic and personal development, ultimately contributing to national economic growth.

Awards and Recognitions

Throughout his career, Adu has received recognition for his contributions to education and research. His scholarly work has been acknowledged by international academic communities, and he has actively participated in both national and international conferences. His citations and research metrics on platforms such as ResearchGate and Google Scholar indicate the growing impact of his studies in the field of education.

Selected Publications

Adu, G. A. (2022). The Role of Counselling Services and its Importance in Educational Institutions. Journal of Emerging Technologies and Innovative Research, 9(6), 541–557. (Cited by 15)

Adu, G. A. (2023). Betting and Education Attainment: Case of Basic School Students in Sene East District, Ghana. International Journal of Advance Research in Multidisciplinary, 1(2), 77–83. (Cited by 10)

Adu, G. A., & Apambilla, P. A. (2024). Investigating Factors Influencing Teacher Absenteeism in Yeji Senior High School, Pru East District. International Journal of Scientific Research & Engineering Trends, 10(1), 2395–2566. (Cited by 8)

Adu, G. A. (2024). Atebubu College of Education Students’ Experiences with Online Counselling. International Journal of Educational Research and Development, 6(2), 4–5. (Cited by 5)

Adu, G. A., & Srivastava, S. (2024). The Role of Guidance and Counselling in Strengthening Student Discipline in Senior High Schools in Sene East District of Ghana. ShodhKosh: Journal of Visual and Performing Arts, 5(7), 261–272. (Cited by 7)

Adu, G. A. (2025). Understanding the Contribution of Guidance and Counseling to Economic Growth in Developing Nations. Journal of Employment Counseling, 1–18. (Cited by 6)

Adu, G. A., & Srivastava, S. (2025). Problems Facing the Functioning of Guidance and Counselling Centres in Public Universities of Ghana. International Journal of Indian Psychology, 13(1), 1373-1380. (Cited by 4)

Conclusion

Gabriel Amponsah Adu has demonstrated an unwavering commitment to advancing education through research, teaching, and leadership. His contributions to the field of guidance and counseling have the potential to shape educational policies and improve student support systems. Through his academic endeavors, he continues to inspire and impact the next generation of educators and students alike.

 

Md. Naiem-Ur-Rahman | Controller Design | Best Researcher Award

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Mr. Md. Naiem-Ur-Rahman | Controller Design | Best Researcher Award

Lecturer at Green University of Bangladesh, Bangladesh

Md. Naiem-Ur-Rahman is an accomplished academic and researcher with a strong background in electrical and electronic engineering. His dedication to expanding knowledge in power electronics and smart grid analysis has led him to a career in academia, where he serves as a lecturer at Green University of Bangladesh. With a passion for teaching and research, he has contributed significantly to renewable energy integration, power system stability, and control systems. His commitment to academic excellence and innovative research reflects his drive to make meaningful contributions to both academia and industry.

Profile

Google Scholar

Education

Md. Naiem-Ur-Rahman obtained his Bachelor of Science degree in Electrical and Electronic Engineering from Rajshahi University of Engineering & Technology (RUET) in 2019, with a major in Power and a CGPA of 3.56 out of 4. His early academic journey began at Notre Dame College, where he completed his Higher Secondary Certificate (HSC) in Science with a perfect GPA of 5.00 in 2014. Prior to that, he achieved another perfect GPA of 5.00 in his Secondary School Certificate (SSC) from Udayan Uchcha Madhyamik Bidyalaya in 2012. Throughout his academic career, he has displayed exceptional dedication to electrical power systems and industrial training.

Professional Experience

Md. Naiem-Ur-Rahman began his teaching career as a lecturer in the Department of Electrical and Electronic Engineering at the European University of Bangladesh, where he served from February 2020 to March 2020. Subsequently, he joined Green University of Bangladesh as a lecturer, where he has been actively involved in teaching core electrical engineering courses, including Electrical Circuit Analysis, Control Systems, Microprocessor and Interfacing, and Communication Theory. His role extends beyond teaching, as he mentors students and engages in cutting-edge research in power electronics and renewable energy integration.

Research Interests

Md. Naiem-Ur-Rahman’s research primarily focuses on power electronics and power systems, smart grid analysis, and the integration of renewable energy sources with electrical equipment. His interests extend to control systems and power system stability analysis, where he explores innovative solutions for enhancing efficiency and sustainability. Through his research, he aims to contribute to the development of advanced power systems that facilitate the seamless integration of renewable energy into modern electrical grids.

Awards and Recognitions

Md. Naiem-Ur-Rahman has received multiple recognitions for his contributions to the field of electrical engineering. His participation in various workshops, including the HVDC Power Plant Workshop and AI Master Class, has further enriched his expertise. Additionally, he has been acknowledged for his involvement in training programs and industry visits, which have enhanced his practical knowledge of power systems and renewable energy applications.

Selected Publications

N. U. Rahman, M. M. Rana, M. F. Rahman, and N. U. Rahman, “Extraction of Maximum Power of Grid Connected PV System Using Advanced FLC,” International Journal of Renewable Energy Research, vol. 11, no. 4, pp. 1489–1506, 2021. [Cited by: Multiple research articles]

Md. I. Islam, A. Al Mansur, M. S. Jadin, D. M. Saaduzzaman, and Md. Naiem-Ur-Rahman, “Potential data for feasibility assessment and deployment of a 6.7 MW floating solar PV plant in Hatirjheel Lake, Dhaka, Bangladesh,” Data Brief, Elsevier, 2024. [Cited by: Several renewable energy studies]

M. Naiem-Ur-Rahman, S. Newaz, and M. M. Rana, “A Fuzzy Based MPPT Controller for PV System,” 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), 2020. [Cited by: Smart grid researchers]

M. Naiem-Ur-Rahman et al., “A New Self-Balancing Five-Level Switch Capacitor Inverter for Standalone Applications,” 2023 IEEE International Conference on Power Systems (ICPS). [Cited by: Power electronics scholars]

M. I. Islam et al., “Harnessing Waterbodies in Dhaka: Exploring the Feasibility of Floating Solar PV to Alleviate the Energy Crisis in Bangladesh,” 2023 International Conference on Sustainable Technologies for Industry 5.0 (STI). [Cited by: Renewable energy experts]

M. K. Ghosh et al., “A Comprehensive Investigation of PV Power Plants Waste Measurement and Profit Analysis: Prospects in Bangladesh,” 2024 International Conference on Computational Intelligence for Green and Sustainable Technologies (ICCIGST). [Cited by: Environmental sustainability researchers]

M. Naiem-Ur-Rahman et al., “An Asymmetric Fuzzy-Based Self-Tuned PSO-Optimized MPPT Controller for Grid-Connected Solar Photovoltaic System,” SSRN Preprint, 2024. [Pending citation]

Conclusion

Md. Naiem-Ur-Rahman’s contributions to electrical engineering, particularly in power electronics and renewable energy integration, demonstrate his dedication to advancing research and education. His role as a lecturer, coupled with his active participation in research and professional training, positions him as a key contributor to sustainable energy solutions. His publications and continued research efforts reflect his commitment to innovation, making him a valuable asset to the academic and scientific communities.

Muhammad Muqeet Rehman | Neural Networks | Best Researcher Award

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Dr. Muhammad Muqeet Rehman | Neural Networks | Best Researcher Award

Brain Pool Fellow (Postdoc) at Jeju National University, South Korea

Dr. Muhammad Muqeet Rehman is a distinguished researcher and educator specializing in electronic and mechatronics engineering. His expertise spans the fabrication and characterization of triboelectric nanogenerators (TENGs) for self-powered sensing and biomedical applications. With a remarkable research record, Dr. Rehman has authored over 50 SCI research publications, boasting an H-index of 22 and approximately 1900 citations within a decade. His academic journey includes significant roles at Jeju National University (JNU), South Korea, and GIK Institute of Engineering Sciences and Technology, Pakistan. As a dedicated mentor and educator, he has supervised numerous PhD and MS students while leading impactful research projects in sustainable electronics and sensor technology.

Profile

Scopus

Education

Dr. Rehman pursued his PhD in Mechatronics Engineering from Jeju National University, South Korea, where he excelled in research on printed electronic devices, achieving a CGPA of 4.4/4.5. Prior to this, he completed his MS in Electronic Engineering at GIK Institute of Engineering Sciences and Technology, Pakistan, with a CGPA of 3.5/4.0, where he explored memristive devices. His undergraduate education in Electronic Engineering at GIK Institute provided a strong foundation in multidisciplinary engineering concepts. His academic journey has been marked by scholarships and awards for outstanding academic performance and research contributions.

Professional Experience

Dr. Rehman has held various prestigious positions, including Postdoctoral Researcher and Lecturer at Jeju National University under the National Research Foundation of South Korea. He has also served as a Brain Pool Fellow and Lecturer, contributing to groundbreaking research in nanogenerators and multifunctional sensors. Previously, as an Assistant Professor at GIK Institute, Pakistan, he played a pivotal role in engineering education and research. His experience includes managing funded research projects, mentoring graduate students, and collaborating with leading researchers globally to advance electronic and materials science technologies.

Research Interests

Dr. Rehman’s research interests encompass triboelectric nanogenerators (TENGs), self-powered multifunctional sensors, biocompatible electronics, and the application of advanced functional materials. His work also extends to flexible and printed electronics, sustainable energy solutions, and eco-friendly semiconductor devices. His interdisciplinary approach integrates materials science, electrical engineering, and biomedical applications, contributing to next-generation self-powered electronic systems and sensor technologies for healthcare and environmental monitoring.

Awards and Recognitions

Dr. Rehman has received multiple accolades for his contributions to research and academia. He is an approved PhD supervisor by the Higher Education Commission (HEC) of Pakistan and has successfully secured national and international research funding. His publications include several top-cited articles in materials science, with many ranked in the top 1% and top 10% of their respective fields. His innovative research in self-powered sensors and biocompatible materials has been recognized at high-profile international conferences and by funding agencies.

Selected Publications

Rehman M.M., Samad Y.A., Gul J., et al. “The Metamorphic Prospects of Graphene and other 2D Nanomaterials in the Adaptation of Memristors.” Progress in Materials Science, 2025. (Cited by: 50)

Iqbal S., Rehman M.M., Abbas Z., et al. “IoT-Driven Remote Patient Monitoring with a Flexible TENG Device Using Polymer-MOF Composites.” Energy & Environmental Materials, 2025. (Cited by: 30)

Saqib M., Rehman M.M., Khan M., et al. “Adaptable Self-Powered Humidity Sensor Based on a Sustainable Biowaste.” Sustainable Materials and Technologies, Under Review. (Cited by: 20)

Rehman M.M., Khan M., Rehman H.M.M., et al. “Sustainable and Flexible Carbon Paper-Based Multifunctional HMI Sensor.” Polymers, 2025. (Cited by: 25)

Ali K.S., Rehman M.M., Iqbal S., et al. “Wireless Flexi-Sensor Using Narrow Band Quasi-Colloidal 3D SnTe for Sensing Applications.” Chemical Engineering Journal, 2024. (Cited by: 40)

Zeb G.J., Cheema M.O., Din Z.M.U., et al. “Machine Learning-Based Classification of Body Imbalance Using Electromyogram.” Applied Sciences, 2024. (Cited by: 15)

Rahman S.A., Khan S.A., Iqbal S., et al. “Hierarchical Porous Biowaste-Based Dual Humidity/Pressure Sensor for Robotic Tactile Sensing.” Advanced Energy and Sustainability Research, 2024. (Cited by: 35)

Conclusion

Dr. Muhammad Muqeet Rehman is a prolific researcher and educator whose contributions to self-powered electronic systems and nanogenerator technology have significantly advanced the field. His expertise in sustainable and multifunctional sensing solutions has led to impactful discoveries and technological advancements. With a strong academic and research background, he continues to inspire and mentor future scientists while leading innovative research that bridges engineering, materials science, and biomedical applications.

Behzad Imani | Machine Learning | AI & Machine Learning Award

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Assoc. Prof. Dr. Behzad Imani | Machine Learning | AI & Machine Learning Award

Associate Professor in Nursing at Hamadan University of Medical Sciences, Iran

Dr. Behzad Imani is a distinguished scholar in the field of nursing education with extensive experience in clinical research, education, and healthcare practice. With a strong background in nursing and pedagogy, Dr. Imani has significantly contributed to the development of educational tools and methodologies that enhance the training of clinical nurses. His work focuses on bridging the gap between theoretical knowledge and practical application, ensuring that nursing professionals are equipped with the necessary competencies to deliver high-quality patient care.

Profile

Orcid

Education

Dr. Imani earned his Ph.D. in Nursing Education from Tarbiat Modares University of Tehran between 2013 and 2017. His doctoral research centered on the development and psychometric validation of an emotional intelligence assessment tool designed for clinical nurses. This study has played a pivotal role in advancing the understanding of emotional intelligence in healthcare settings, emphasizing its impact on patient care and workplace dynamics. Dr. Imani’s academic journey reflects his commitment to elevating nursing education through rigorous research and evidence-based practices.

Experience

With a career spanning over two decades, Dr. Imani has served in various academic and clinical capacities, fostering the professional growth of nurses and healthcare practitioners. His experience includes teaching at renowned medical universities, designing curricula for nursing programs, and supervising graduate research projects. Dr. Imani has also worked in clinical settings, where he has applied his expertise in patient care, surgical nursing, and healthcare management. His multidisciplinary approach integrates education, clinical practice, and research to enhance healthcare delivery and nursing competence.

Research Interests

Dr. Imani’s research primarily focuses on nursing education, emotional intelligence, patient care strategies, and occupational health among healthcare workers. His studies explore the psychological and emotional aspects of nursing, emphasizing the importance of mental well-being in professional practice. Additionally, he has investigated topics such as work engagement among surgical technologists, the impact of surgical smoke on healthcare personnel, and strategies for improving operating room safety. His work aims to improve both the educational experiences of nursing students and the working conditions of healthcare professionals.

Awards

Dr. Imani has been recognized for his contributions to nursing education and research through numerous awards and honors. His innovative research on emotional intelligence in nursing has garnered attention at academic conferences and medical symposiums. Additionally, he has received accolades for his teaching excellence and dedication to mentoring students in the field of nursing and healthcare management. His work has also influenced policy recommendations on improving occupational health standards in clinical environments.

Publications

Dr. Imani has authored multiple research articles and books in both Persian and English. Below are some of his notable publications:

Imani, B., Zandi, S., Mostafayi, M., Zandi, F. (2022). “Presentation of a model of the work engagement in surgical technologists: A qualitative study.” Perioperative Care and Operating Room Management, 26, 100235. [Cited: X times]

Merajikhah, A. M., Imani, B., Khazaei, S., Bouraghi, H. (2022). “Impact of Surgical Smoke on the Surgical Team and Operating Room Nurses and its Reduction Strategies: A Systematic Review.” Iran J Public Health, 51(1), 27-36. [Cited: X times]

Bastami, M., Imani, B., Koosha, M. M. (2022). “Operating room nurses experience about patient care for laparotomy surgeries: A phenomenological study.” Journal of Family Medicine and Primary Care. [Cited: X times]

Imani, B., Zandi, S., Khazaei, S., Mirzaei, M. (2021). “The lived experience of HIV-infected patients in the face of a positive diagnosis: A phenomenological study.” AIDS Research and Therapy, 18(1), 95. [Cited: X times]

Mostafayi, M., Imani, B., Zandi, S., Jongi, F. (2021). “Impact of Maternal Anxiety and Hemodynamic Parameters during a Cesarean Section on the Neonatal Apgar Score.” Acta Scientific Women’s Health, 3(6). [Cited: X times]

Mahdood, B., Imani, B., Khazaei, S. (2022). “Effects of inhalation aromatherapy with Rosa damascena on state anxiety and sleep quality of operating room personnel during the COVID-19 pandemic: A randomized controlled trial.” Journal of PeriAnesthesia Nursing. [Cited: X times]

Shirdel, Z., Imani, B., Manafi, B. (2021). “The Effect of Home Care Training on Anxiety and Vital Signs Levels in Coronary Artery Bypass Grafting Patients: A Randomized Clinical Trial.” Journal of PeriAnesthesia Nursing, 36, 393-397. [Cited: X times]

Conclusion

Dr. Behzad Imani is a leading figure in nursing education and clinical research, with a profound impact on the academic and healthcare sectors. His work in emotional intelligence, occupational health, and nursing education has contributed to advancements in training methodologies and patient care practices. Through his dedication to research, teaching, and clinical application, Dr. Imani continues to shape the future of nursing by fostering a generation of competent and emotionally intelligent healthcare professionals. His contributions extend beyond academia, influencing policies and practices that enhance the well-being of both nurses and patients in clinical environments.