Jenny Tonsing | Operations Research | Best Researcher Award

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Assoc. Prof. Dr. Jenny Tonsing | Operations Research | Best Researcher Award

Associate professor/Social Work at Appalachian State University, United States

Dr. Jenny C. Tonsing 🎓 is a distinguished scholar and Associate Professor of Social Work at Appalachian State University, with a profound commitment to social justice, mental health, and refugee welfare 🌍. With a Ph.D. from Royal Holloway, University of London, and multiple master’s degrees, she has cultivated over a decade of international academic and research excellence 📚. Her impactful studies focus on domestic violence, psychological resilience, and cultural dynamics among marginalized communities, particularly South Asian and Burmese populations 🧠👩🏽‍👧🏽‍👦🏽. Dr. Tonsing has published prolifically in high-impact journals and presented at global conferences, earning respect as a thought leader in trauma-informed care and gender equity 🚺. She serves as a peer reviewer for numerous journals and is actively involved in shaping future social work practices through conferences and collaborative projects 🤝. Her scholarly voice bridges cultural insight with empirical rigor, making her a beacon in social work research and advocacy 💡🌱.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓📘

Dr. Jenny C. Tonsing’s educational voyage is a testament to her relentless pursuit of knowledge and social impact. She earned her Ph.D. in Social Work from Royal Holloway, University of London 🇬🇧, following a robust academic foundation that includes two master’s degrees—one in Social Work and another in Psychology. Her educational path is marked by interdisciplinary learning and global exposure, fostering her expertise in cross-cultural social issues 🌏. She also holds certifications in trauma-informed practice and mental health, reflecting her dedication to bridging theory with real-world transformation 🧠✨. Her academic accomplishments are not only deeply rooted in research excellence but also in cultivating empathy, ethics, and advocacy. With a rich educational portfolio blending South Asian insight with Western scholarship, Dr. Tonsing has emerged as an intellectual pioneer equipped to challenge systemic inequities through socially conscious inquiry and teaching 🧑🏽‍🏫📖.

Professional Experience 👩🏽‍🏫🌍

Dr. Jenny C. Tonsing brings over a decade of dynamic professional experience in academia, social work, and community empowerment. Currently serving as an Associate Professor of Social Work at Appalachian State University 🏞️, she has previously held academic roles across continents, including Asia and the United Kingdom, which have deeply enriched her global perspective. Her roles extend beyond teaching—she is a mentor, a curriculum innovator, and a cross-cultural facilitator who bridges classroom theory with community practice 🤝💬. In addition to academic responsibilities, Dr. Tonsing has led numerous field initiatives focusing on refugee well-being, domestic violence prevention, and psychosocial support in vulnerable populations 🏠🧍🏽‍♀️🧍🏽‍♂️. Her ability to navigate diverse sociopolitical settings and adapt strategies for culturally relevant interventions underscores her as a pragmatic changemaker. Her professional legacy is rooted in compassion, resilience, and an unwavering commitment to social equity 🔍❤️.

Research Interests 🔬📊

Dr. Jenny C. Tonsing’s research pursuits are deeply woven into themes of trauma, gender equity, refugee resilience, and transnational identities 🌐👩🏽‍⚕️. She explores how individuals and communities navigate adversity within socio-cultural contexts, particularly focusing on South Asian and Burmese populations. Her work delves into pressing topics such as intimate partner violence, psychological well-being, migration stress, and culturally grounded mental health interventions 🧠💔🏳️. Combining qualitative depth with empirical clarity, she advocates for trauma-informed approaches that honor lived experiences while contributing to academic discourse. Dr. Tonsing’s studies not only identify systemic gaps but also propose actionable frameworks for social workers and policymakers alike 🧾📚. Her intersectional lens and collaborative methodologies make her scholarship both transformative and inclusive. Driven by a passion to inform policy and uplift underserved voices, she continues to challenge conventional paradigms in mental health and human rights research ⚖️💡.

Awards and Honors 🏅🎖️

Dr. Tonsing’s stellar contributions have earned her numerous accolades, cementing her as a leader in social work research and education. She has been honored for excellence in teaching, global engagement, and research innovation across her academic journey 🎓🌟. Her scholarly articles have received recognition in peer-reviewed journals, and she frequently receives invitations as a keynote speaker at international symposia and academic summits 🌍🎤. Moreover, she has been commended for her advocacy efforts in domestic violence prevention and refugee support, both in academic and humanitarian circles. As a reviewer for prestigious journals and a collaborator in funded projects, her professional reputation continues to flourish 🔍📈. These awards not only celebrate her academic merit but also reflect her commitment to societal change. Through each honor, Dr. Tonsing inspires both her students and peers to pursue justice, inclusivity, and intellectual rigor in all dimensions of social work 🌱👏.

Conclusion 🌟📌

Dr. Jenny C. Tonsing embodies the synergy of intellect, empathy, and advocacy. Her journey—from scholar to changemaker—reflects a rare dedication to illuminating the lives of marginalized communities through both education and action 🌏📚. Whether in the classroom, the field, or through rigorous research, she has consistently upheld a vision of equity, compassion, and evidence-based solutions 💼🧠. With an expansive academic background, rich professional experiences, and impactful scholarship, Dr. Tonsing continues to shape the landscape of social work globally. Her voice resonates in areas where silence once prevailed, championing the rights of the voiceless and paving pathways for systemic transformation 🚀🔊. As an educator, mentor, and advocate, she inspires a generation of socially conscious professionals to think critically, act ethically, and dream boundlessly 🌈🕊️. In every sphere she touches, Dr. Tonsing exemplifies what it means to lead with both heart and purpose.

Publications Top Notes

  • Title: Understanding the role of patriarchal ideology in intimate partner violence among South Asian women in Hong Kong
    Authors: JC Tonsing, KN Tonsing
    Year: 2019
    Citation: 124

  • Title: Psychological distress, coping and perceived social support in social work students
    Authors: M Vungkhanching, JC Tonsing, KN Tonsing
    Year: 2017
    Citation: 105

  • Title: Intimate partner violence in South Asian communities: Exploring the notion of ‘shame’ to promote understandings of migrant women’s experiences
    Authors: J Tonsing, R Barn
    Year: 2017
    Citation: 78

  • Title: Acculturation, perceived discrimination, and psychological distress: Experiences of South Asians in Hong Kong
    Authors: KN Tonsing, S Tse, JC Tonsing
    Year: 2016
    Citation: 43

  • Title: Domestic violence: Intersection of culture, gender, and context
    Authors: JC Tonsing
    Year: 2016
    Citation: 42

  • Title: Domestic violence, social support, coping and depressive symptomatology among South Asian women in Hong Kong
    Authors: KN Tonsing, JC Tonsing, T Orbuch
    Year: 2021
    Citation: 32

  • Title: Conceptualizing partner abuse among South Asian women in Hong Kong
    Authors: JC Tonsing
    Year: 2014
    Citation: 32

  • Title: Complexity of domestic violence in a South Asian context in Hong Kong: Cultural and structural impact
    Authors: JC Tonsing
    Year: 2016
    Citation: 17

  • Title: Exploring South Asian women’s experiences of domestic violence and help-seeking within the sociocultural context in Hong Kong
    Authors: KN Tonsing, JC Tonsing
    Year: 2019
    Citation: 16

  • Title: Help-seeking behaviors and practices among Fijian women who experience domestic violence: An exploration of the role of religiosity as a coping strategy
    Authors: J Tonsing, R Barn
    Year: 2021
    Citation: 13

  • Title: A study of domestic violence among South Asian women in Hong Kong
    Authors: J Tonsing
    Year: 2014
    Citation: 11

  • Title: A mixed-method study of stress and coping strategies among university social work students in the United States
    Authors: KN Tonsing, JC Tonsing
    Year: 2022
    Citation: 10

  • Title: Using ecological model to understand intimate partner violence
    Authors: J Tonsing
    Year: 2011
    Citation: 8

  • Title: A Study of Domestic Violence among the South Asian in Hong Kong
    Authors: JC Tonsing
    Year: 2010
    Citation: 8

  • Title: Prevalence and correlates of depressive symptoms among university students: A cross-sectional study
    Authors: KN Tonsing, JC Tonsing
    Year: 2023
    Citation: 6

  • Title: Fijian women’s experiences of domestic violence and mothers’ perceived impact of children’s exposure to abuse in the home
    Authors: J Tonsing
    Year: 2020
    Citation: 6

  • Title: Exploratory Study of the Resettlement Experiences of Burmese Refugees Children in the USA
    Authors: JC Tonsing
    Year: 2021
    Citation: 2

  • Title: Beliefs about mental health and barriers to psychological help-seeking among Burmese refugees: A mixed-method inquiry
    Authors: KN Tonsing, JC Tonsing
    Year: 2025
    Citation: 1

 

Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysis—all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevier—an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Farshid Dehghan | Optimization | Best Researcher Award

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Dr. Farshid Dehghan | Optimization | Best Researcher Award

Doctoral Researcher at Universidad Politécnica de Madrid, Iran

Farshid Dehghan is a dedicated Building Energy Performance Analyst with expertise in simulation-based optimization, energy efficiency, and machine learning applications. He is affiliated with Escuela Técnica Superior de Edificación, Universidad Politécnica de Madrid, Spain, where he focuses on sustainable building solutions. His research includes optimizing building retrofits in Iran to improve energy consumption, emissions reduction, comfort, and indoor air quality in the face of climate change. He is currently working on predicting energy consumption and emissions using machine learning approaches, reflecting his innovative mindset in data-driven sustainability. His scholarly contributions include a publication in the Sustainability journal, showcasing his ability to address real-world energy challenges. While his research impact is growing, expanding his indexed publications, securing patents, and increasing industry collaborations could further enhance his profile. With his commitment to sustainable energy solutions, Farshid Dehghan is a promising researcher in the field of building energy performance and smart optimization techniques.

Professional Profile 

Google Scholar

Education

Farshid Dehghan is affiliated with Escuela Técnica Superior de Edificación, Universidad Politécnica de Madrid, Spain, where he has built a strong academic foundation in building energy performance, sustainable design, and simulation-based optimization. His educational background is deeply rooted in engineering and environmental sustainability, equipping him with the necessary skills to tackle challenges related to energy efficiency, emissions control, and indoor air quality. His studies have provided him with expertise in machine learning applications for energy prediction and optimization, making him a forward-thinking researcher in the field. Throughout his academic journey, he has developed a strong analytical approach and a problem-solving mindset, allowing him to apply innovative methodologies to complex building energy problems. His educational background has played a crucial role in shaping his research focus, emphasizing the intersection of technology, energy efficiency, and sustainability, which forms the core of his work in simulation-based multi-objective optimization.

Professional Experience

Farshid Dehghan is a Building Energy Performance Analyst with expertise in sustainable building solutions, energy efficiency modeling, and simulation-based optimization techniques. His professional experience includes research on building retrofits in Iran, where he focuses on optimizing energy consumption, minimizing emissions, and improving occupant comfort while considering climate change impacts. His work integrates machine learning and data-driven approaches to predict energy consumption and emissions, demonstrating his strong analytical and computational skills. Through his research, he has gained experience in working with building simulation software, optimization tools, and statistical modeling techniques. His role requires him to analyze real-world building performance, propose effective retrofit solutions, and contribute to the advancement of energy-efficient building designs. Additionally, his work in academic publishing and industry-related consultancy projects has enabled him to apply his research to practical applications, making him a valuable asset in the field of sustainable building energy performance.

Research Interest

Farshid Dehghan’s research primarily focuses on building energy performance, simulation-based optimization, and machine learning applications in sustainability. He is particularly interested in multi-objective optimization for energy-efficient building retrofits, aiming to reduce energy consumption, minimize emissions, and enhance indoor air quality while ensuring occupant comfort. His work extends to predictive modeling using machine learning techniques, where he applies advanced algorithms to forecast energy usage patterns and environmental impacts. Additionally, he is exploring the integration of smart building technologies to develop data-driven strategies for optimizing building operations. His research aligns with global efforts to combat climate change by promoting energy-efficient and low-carbon building solutions. He is also interested in developing policy-driven strategies for sustainable urban environments, collaborating with experts across disciplines to create innovative frameworks for energy management and optimization. His research contributions reflect his commitment to sustainability and technological innovation in the built environment.

Awards and Honors

Farshid Dehghan’s contributions to building energy performance research have positioned him as a promising researcher in his field. While he is in the early stages of his career, his publication in the Sustainability journal and ongoing research projects demonstrate his growing impact. His work in simulation-based optimization for building retrofits has gained recognition, and as he continues to expand his research, he is likely to attract more academic and industry accolades. By securing indexed journal publications, patents, and industry collaborations, he has the potential to achieve prestigious honors in sustainable building research. His dedication to improving energy efficiency and indoor air quality aligns with global sustainability goals, making him a strong candidate for future research awards. As he continues to contribute to innovative energy solutions, his work is expected to receive further recognition in academic, industry, and policy-making circles.

Conclusion

Farshid Dehghan is a dedicated researcher and analyst specializing in building energy performance, sustainable design, and machine learning-driven energy optimization. His work addresses critical challenges in energy efficiency, emissions reduction, and occupant comfort, making significant contributions to the field of sustainable built environments. While his research is gaining traction, further expansion in indexed journal publications, patents, and industry partnerships will strengthen his profile. His expertise in simulation-based optimization and predictive modeling demonstrates his forward-thinking approach to sustainability. As he continues his research, his contributions will play a vital role in shaping the future of energy-efficient building solutions. His strong technical background, research-driven mindset, and commitment to innovation make him a valuable asset in the pursuit of sustainable and climate-resilient building technologies.

Publications Top Noted

 

Zohaib Khan | Optimization | Best Researcher Award

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Dr. Zohaib Khan | Optimization | Best Researcher Award

Jiangsu University, China

Zohaib Khan is a dedicated researcher specializing in machine learning, object detection, and control science engineering, with a strong focus on precision agriculture and AI-driven automation. Currently pursuing a PhD at Jiangsu University, China, he has made significant contributions to deep learning-based agricultural robotics, publishing multiple first-author papers in high-impact SCI Q1, Q2, and EI journals. His work emphasizes real-time detection, optimization algorithms, and AI-driven sustainability solutions. With extensive mentoring experience (50+ Bachelor’s and 10 Master’s students), he has played a key role in academic development. Zohaib has received numerous national and international awards, including first prizes in elite research and innovation competitions. His technical expertise spans Python, MATLAB, LaTeX, and AI-driven modeling, complementing his ability to lead interdisciplinary research. With a passion for advancing AI applications in agriculture, he continues to drive innovation in sustainable and automated farming solutions.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Zohaib Khan is currently pursuing a PhD in Control Science Engineering at Jiangsu University, China (2022–2026), specializing in machine learning and object detection. He previously earned an MSc in Electrical Engineering (2019–2022) from the same institution, focusing on power systems and renewable energy. His Bachelor’s degree in Electrical Power Engineering (2013–2017) from Swedish College of Engineering and Technology, Pakistan, laid the foundation for his technical expertise. His early academic years were marked by excellence, having completed Pre-Engineering at Fazaia Degree College (2011–2013) and his Secondary School Certificate (2009–2011) at Agricultural University Public School. Zohaib’s academic journey is distinguished by his strong analytical skills and passion for integrating AI and automation in engineering solutions. His education reflects a deep commitment to advanced research, innovation, and interdisciplinary problem-solving, positioning him as a future leader in AI-driven technologies and precision agriculture.

Professional Experience

Zohaib Khan has gained substantial experience in both academic research and engineering practice. As an intern at WAPDA, Pakistan, he developed hands-on expertise in power distribution and transmission lines, strengthening his understanding of grid operations and maintenance. Later, as an Electrical Engineer at LIMAK (JV) ZKB – CPEC Project (2017–2018), he contributed to electrical system design, installation, and maintenance, gaining valuable project management experience. His role involved troubleshooting, safety compliance, and interdisciplinary collaboration, enhancing his problem-solving capabilities. In academia, Zohaib has mentored over 50 Bachelor’s and 10 Master’s students, guiding them through research projects in machine learning, object detection, and automation. His strong writing, teaching, and IT skills have been instrumental in fostering innovation. His diverse experience, spanning applied research and engineering implementation, makes him a well-rounded professional capable of driving breakthroughs in AI-powered automation and precision agriculture.

Research Interest

Zohaib Khan’s research focuses on machine learning, deep learning, object detection, and AI-driven automation, with applications in precision agriculture and robotics. His studies revolve around real-time detection, optimization algorithms, and advanced control systems for agricultural sustainability and industrial automation. He has pioneered AI-driven precision farming techniques, developing deep learning-enhanced YOLOv7 and YOLOv8 algorithms for real-time crop health assessment and robotic spraying systems. Additionally, his work explores autonomous navigation in unstructured farmlands, energy-efficient control systems, and reinforcement learning for AI-based decision-making. His research extends to risk assessment in renewable energy systems, contributing to more efficient and resilient smart grids. Through interdisciplinary collaborations, Zohaib continues to push the boundaries of AI in sustainable agriculture, robotics, and industrial automation, aiming to develop intelligent, scalable, and high-impact solutions for modern technological challenges.

Awards and Honors

Zohaib Khan has received multiple prestigious awards recognizing his contributions to research, innovation, and academic excellence. He has won First Prizes in National Competitions, including the China University Business Elite Challenge (2024) and the Brand Planning Competition (2024). His research excellence was acknowledged with the Excellent Paper Award at the Sino-award (2021) and special recognition in Jiangsu Province Graduate Energy-saving and Low-Carbon Research Competition (2023). Additionally, he was honored as an Outstanding Student in the 17th “Yale School of Jiangsu University” program and received a Certificate of Excellence for Teaching Assistance. His leadership and public speaking skills earned him first place in an English debate at Jiangsu University. These accolades reflect his dedication to research, leadership in innovation, and commitment to advancing AI applications in engineering and agriculture, solidifying his reputation as a promising researcher in his field.

Conclusion

Zohaib Khan’s academic, professional, and research journey showcases his exceptional talent in AI-driven automation, machine learning, and precision agriculture. His extensive experience in research, mentoring, and engineering practice positions him as a leading scholar in intelligent agricultural robotics and sustainable AI applications. With a strong publication record in high-impact journals (SCI Q1, Q2, and EI) and multiple national and international awards, he has demonstrated his ability to drive innovation and solve real-world problems. His work in deep learning-based automation and AI-driven optimization techniques continues to push the boundaries of technology for sustainability and efficiency. As he progresses in his career, Zohaib remains committed to advancing cutting-edge research, fostering academic collaborations, and contributing transformative solutions in AI, robotics, and smart energy systems. His dedication and achievements make him a strong candidate for prestigious research awards and a key contributor to the future of AI in engineering and agriculture.

Publications Top Noted