Sandeep Belidhe | Engineering | Best Innovation Award

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Mr. Sandeep Belidhe | Engineering | Best Innovation Award

DevSecOps Engineer at Sparksoft Corp, United States

Sandeep Belidhe is a highly experienced IT professional with over 10.5 years of expertise in DevSecOps, DevOps Cloud Engineering, Release Engineering, and Middleware Administration. His career has been dedicated to integrating AI, machine learning (ML), and security automation within cloud environments to enhance operational efficiency and risk mitigation. Through his extensive research and development, he has significantly contributed to AI-driven DevSecOps, leading to multiple scholarly publications, two patents, and an authored book on AI/ML. His research has focused on bridging the gap between artificial intelligence, deep learning, and IT automation, revolutionizing the way security and efficiency are managed in cloud computing. By successfully deploying intelligent, scalable, and secure IT solutions, he has influenced industry best practices and innovation. Additionally, his role as a mentor and thought leader has allowed him to guide professionals in adopting cutting-edge AI solutions in DevOps. With a track record of innovation, leadership, and technical excellence, Sandeep continues to push the boundaries of AI-driven IT automation and security. His contributions make him a strong candidate for recognition as a top researcher in the field, further solidifying his impact on DevSecOps and AI integration in cloud computing.

Professional Profile

Education

Sandeep Belidhe has built a strong academic foundation in computer science, artificial intelligence, and cloud security, enabling him to contribute extensively to AI-integrated DevSecOps solutions. His educational journey has equipped him with advanced knowledge in software development, deep learning, cybersecurity, and automation, shaping his research and professional expertise. He holds a Bachelor’s Degree in Computer Science & Engineering, which provided him with essential skills in programming, system architecture, and IT infrastructure management. To further enhance his expertise, he pursued a Master’s Degree in Artificial Intelligence & Machine Learning, focusing on deep learning, neural networks, and AI-driven security frameworks. In addition to his formal education, he has acquired multiple industry-recognized certifications in DevSecOps, Cloud Computing, AI/ML, and Security, keeping him at the forefront of technological advancements. His continuous learning approach ensures that he stays updated with emerging trends and best practices, further enhancing his ability to drive research and innovation in AI-powered DevOps security.

Professional Experience

Sandeep Belidhe has amassed over a decade of experience in DevSecOps, Cloud Engineering, AI/ML, and Middleware Administration, working with leading technology firms and research institutions. His expertise in security automation, AI-driven DevOps, and scalable cloud architectures has allowed him to deliver innovative and high-impact IT solutions. Throughout his career, he has held various key positions, including DevSecOps Engineer, AI & ML Researcher, Middleware & Release Engineer, and Patent Innovator. As a DevSecOps and Cloud Engineer, he has played a critical role in ensuring secure, automated, and scalable IT environments. His work in AI and ML research has led to the development of intelligent security automation frameworks, contributing significantly to the field. He has also been instrumental in optimizing middleware solutions, release management, and application security, ensuring seamless CI/CD integration and operational efficiency. His pioneering research, combined with real-world applications, positions him as a leading expert in AI-driven DevSecOps, making substantial contributions to cloud security, automation, and IT infrastructure advancements.

Research Interest

Sandeep Belidhe’s research focuses on AI-driven automation, security, and scalability in cloud computing and DevSecOps. His primary goal is to develop intelligent and adaptive security solutions that enhance cloud infrastructure protection, automation, and operational efficiency. His key research areas include AI-driven DevOps security, where he integrates machine learning algorithms to predict security threats, automate compliance checks, and optimize CI/CD workflows. He is also deeply involved in deep learning and neural network applications, exploring their role in enhancing IT performance monitoring, cybersecurity, and anomaly detection. Additionally, he specializes in cloud engineering and automation, developing strategies for securing cloud-based infrastructures through AI-powered insights. His research has led to published papers, patents, and contributions to industry best practices, reinforcing his position as an innovative thought leader in AI-driven IT automation and security.

Research Skills

Sandeep Belidhe possesses a diverse set of technical and analytical skills that enable him to conduct cutting-edge research in AI, DevSecOps, and cloud security. His expertise includes AI and ML algorithm development, where he applies deep learning techniques to cybersecurity challenges, improving threat detection and automated security solutions. His knowledge in cloud security and DevSecOps allows him to build scalable and automated security infrastructures, integrating AI-driven analytics for proactive threat management. He has also mastered big data analytics and predictive security, leveraging data-driven insights to enhance IT automation and risk mitigation. Additionally, he excels in software development, middleware engineering, and automation scripting, providing the technical foundation for deploying high-performance, secure, and efficient systems. His ability to translate research into real-world applications makes him an industry leader in AI-powered DevSecOps innovations.

Awards and Honors

Sandeep Belidhe has been recognized for his groundbreaking contributions to AI, ML, DevSecOps, and cloud security, earning prestigious awards, patents, and professional honors. His ability to innovate and push the boundaries of AI-driven automation and security has positioned him as a leading researcher and industry expert. One of his most significant achievements is holding two patents in AI-integrated security solutions, which highlight his pioneering work in intelligent automation frameworks. Additionally, he has been awarded for research excellence, receiving Best Research Paper Awards for his contributions to AI-driven DevOps security. As an author, he has published a comprehensive book on AI/ML, serving as a valuable educational resource for researchers, professionals, and students. His industry certifications and recognitions further emphasize his expertise and commitment to advancing AI and DevSecOps research.

Conclusion

Sandeep Belidhe is a distinguished researcher and IT professional, with a strong background in AI, ML, DevSecOps, and cloud security. His 10.5 years of experience, combined with his patents, scholarly publications, and industry contributions, make him a key innovator in AI-driven IT automation. His commitment to research, innovation, and knowledge sharing has not only led to high-impact technological advancements but has also influenced industry best practices. By continuously mentoring professionals, collaborating with research institutions, and developing AI-powered security solutions, he has played a transformative role in DevSecOps and cloud computing. Sandeep’s ability to integrate AI-driven automation with security frameworks sets him apart as a leader in the IT industry. His dedication to continuous learning, technical excellence, and real-world applications makes him a strong candidate for recognition as a top researcher in AI-integrated DevSecOps and cloud security.

Publications Top Notes

  1. Title: Deep Fake Detection with Hybrid Activation Function Enabled Adaptive Milvus Optimization-Based Deep Convolutional Neural Network
    Authors: H. Mashetty, N. Erukulla, S. Belidhe, N. Jella, V. Reddy Pishati, B.K. Enesheti
    Year: 2025

  2. Title: Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
    Authors: S.K.D. Sandeep Belidhe, Phani Monogya Katikireddi
    Year: 2024

  3. Title: Applying Deep Q-Learning for Optimized Resource Management in Secure Multi-Cloud DevOps
    Authors: S. Belidhe
    Year: 2022

  4. Title: AI-Driven Governance for DevOps Compliance
    Authors: S. Belidhe
    Year: 2022

  5. Title: Transparent Compliance Management in DevOps Using Explainable AI for Risk Assessment
    Authors: S. Belidhe
    Year: 2022

  6. Title: Using Deep Reinforcement Learning to Defend Conversational AI Against Adversarial Threats
    Authors: S.K.D. Phani Monogya Katikireddi, Sandeep Belidhe
    Year: 2021

  7. Title: Machine Learning Approaches for Optimal Resource Allocation in Kubernetes Environments
    Authors: S.B. Sandeep Kumar Dasa, Phani Monogya Katikireddi
    Year: 2021

  8. Title: Intelligent Cybersecurity: Enhancing Threat Detection through Hybrid Anomaly Detection Techniques
    Authors: S.B. Phani Monogya Katikireddi, Sandeep Kumar Dasa
    Year: 2021

  9. Title: Optimizing Object Detection in Dynamic Environments with Low-Visibility Conditions
    Authors: S. Belidhe, S.K. Dasa, S. Jaini

Yuxin Ma | Engineering | Best Researcher Award

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Mr. Yuxin Ma | Engineering | Best Researcher Award

Master Degree Candidate at Shanghai Dianji University, China

Ma Yuxin is an emerging researcher in Electrical Engineering, currently pursuing a Master’s degree at Shanghai Dianji University. With a strong academic background and research focus on Permanent Magnet Synchronous Motor (PMSM) control, Ma has already contributed three research papers to international conferences and journals. Recognized for academic excellence, innovation, and technical proficiency, Ma has received multiple scholarships and awards, including the Shanghai “Science and Technology Star of Tomorrow” Creative Award. Alongside research, Ma has practical experience through an internship at Shanghai Electric Fuji Electric Power Technology Co., Ltd., where they are engaged in PMSM sensorless full-speed control projects. Proficient in MATLAB, AD, PSIM, and Keil, Ma has also earned a Siemens NX CAD Engineer Intermediate Qualification. These achievements reflect a commitment to advancing electrical engineering technologies through both theoretical and practical applications.

Professional Profile

Education

Ma Yuxin completed a Bachelor’s degree in Electrical Engineering from Shanghai Dianji University (2018-2022) with outstanding academic performance, earning multiple university scholarships. Currently, Ma is pursuing a Master’s degree in Electrical Engineering at the same institution (2023-present). During undergraduate studies, Ma actively participated in innovation and entrepreneurship projects, winning recognition for contributions to scientific research. The master’s research focuses on PMSM speed control, leading to three published papers in reputable journals and conferences. Academic achievements also include certification as a Siemens NX CAD Engineer and recognition in the Challenge Cup Shanghai University Science and Technology Competition. These educational experiences have provided a strong foundation in theoretical knowledge, research methodologies, and practical applications, preparing Ma for further advancements in electrical engineering research and development.

Professional Experience

Ma Yuxin is currently working as a Technical Research and Development Engineer at Shanghai Electric Fuji Electric Power Technology Co., Ltd. (2024-2025). This role involves conducting research and development on PMSM sensorless full-speed control projects and software testing experiments. During this position, Ma has gained hands-on experience in electrical system simulation, motor control optimization, and embedded system programming. Additionally, Ma’s university years included participation in competitive engineering projects and industry-relevant training programs, reinforcing both practical and theoretical expertise. This experience, combined with academic research, enables Ma to bridge the gap between academia and industry by applying research insights to real-world engineering challenges. The combination of research and industry exposure highlights Ma’s capability to innovate within electrical engineering and contribute to advancements in motor control technologies.

Research Interests

Ma Yuxin’s primary research interests lie in Permanent Magnet Synchronous Motor (PMSM) speed control, with a focus on sensorless full-speed control optimization. Other areas of interest include power electronics, motor drive systems, embedded control systems, and intelligent motor control using AI-based algorithms. Ma is also keen on exploring advanced control strategies for electric vehicles (EVs), renewable energy applications, and industrial automation. The integration of machine learning with motor control to enhance efficiency, reliability, and fault diagnosis is another potential research direction. By combining theoretical knowledge with experimental validation, Ma aims to contribute to the development of more efficient, robust, and cost-effective electrical motor control systems. These interests align with emerging trends in smart grid technologies, automation, and energy-efficient electrical systems, positioning Ma as a promising researcher in modern electrical engineering applications.

Research Skills

Ma Yuxin possesses strong research skills in electrical system modeling, simulation, and motor control algorithm development. Proficient in using MATLAB, PSIM, AD, and Keil for electrical simulations and control system design, Ma also has experience with embedded programming and software testing. Expertise extends to hardware implementation and real-time testing of PMSM control systems, ensuring research findings are practically applicable. Additionally, Ma is skilled in scientific writing and publishing, having successfully authored and published three research papers in reputable journals and conferences. Knowledge of data analysis, experimental design, and optimization techniques further strengthens Ma’s ability to conduct impactful research. These research skills, coupled with technical proficiency, provide a solid foundation for continued contributions to the field of electrical engineering and motor control technology.

Awards and Honors

Ma Yuxin has received numerous awards and honors for academic excellence, innovation, and research contributions. During undergraduate studies, Ma was recognized as an Outstanding Graduate of Shanghai and awarded multiple university scholarships for both academic performance and practical achievements. Additionally, Ma won the Creative Award in the 18th Shanghai “Science and Technology Star of Tomorrow” selection activity, highlighting innovation in scientific research. Another significant achievement includes securing second prize in the 17th “Challenge Cup” Shanghai University Science and Technology Competition, showcasing strong problem-solving and research capabilities. Further honors include the Siemens NX CAD Engineer Intermediate Qualification Certificate, demonstrating technical expertise. These achievements reflect Ma’s commitment to excellence in research, technical skill development, and innovative problem-solving, reinforcing their suitability for prestigious research awards.

Conclusion

Ma Yuxin is a promising researcher in electrical engineering, demonstrating strong academic performance, research productivity, and technical expertise. With three research papers published, awards in innovation competitions, and hands-on experience in PMSM control projects, Ma has a solid foundation for continued contributions to the field. However, further research in high-impact journals, international collaborations, and patent applications would strengthen the case for prestigious research awards. Participation in conferences, industrial projects, and interdisciplinary research could also enhance visibility in the academic community. Given Ma’s current trajectory, continued growth in these areas will position them as a leading researcher in electrical motor control and automation technologies.

Publications Top Notes

  1. Publication: Speed Control of PMSM Based on Series Lead Correction Doubly Fed Differential LADRC

    • Authors: Yuxin Ma
    • Year: 2025

  2. Publication: Research on PMSM Speed Control Based on Improved Super-Twisting Sliding Mode Active Disturbance Rejection Control

    • Authors: Yuxin Ma, Ziqi Lei, Pingping Gu, Xinpeng Feng, Wei Zhang, Chaohui Zhao
    • Year: 2024

 

Cheng Hu | Materials Science | Excellence in Innovation

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Assoc Prof Dr. Cheng Hu | Materials Science | Excellence in Innovation

Associate Professor at Sichuan University, China.

Cheng Hu is an accomplished Associate Professor at Sichuan University, specializing in biomaterials and biomedical engineering. With a profound focus on developing innovative microenvironment-responsive delivery systems, Hu’s research addresses critical biomedical challenges such as myocardial infarction and stroke. His work emphasizes the integration of smart biomaterials, hydrogels, and organic synthesis within the realm of materials chemistry. An active contributor to the academic community, Hu has a robust publication record, including numerous articles in high-impact journals, showcasing his commitment to advancing scientific knowledge and improving patient outcomes. His collaborative efforts extend across multiple disciplines, enhancing the translational potential of his research. Hu is recognized for his editorial contributions to various journals, demonstrating his dedication to fostering innovation in the field of biomedical engineering. Through his innovative approach, he aims to bridge the gap between research and clinical applications, ultimately improving healthcare delivery and patient care.

Professional Profile

Education

Cheng Hu earned his Ph.D. in Biomedical Engineering, where he focused on the synthesis and characterization of novel biomaterials for medical applications. His educational journey laid a solid foundation in materials chemistry, enabling him to explore complex interactions between biomaterials and biological systems. During his doctoral studies, he honed his skills in hydrogel development and drug delivery mechanisms, paving the way for his future research endeavors. Following his Ph.D., Hu continued to expand his expertise through postdoctoral research positions, where he collaborated with leading experts in the field. This experience enriched his knowledge of smart materials and their applications in regenerative medicine. Hu’s comprehensive educational background equips him with the theoretical understanding and practical skills necessary to tackle pressing challenges in biomedical engineering, making him a valuable contributor to the academic and scientific communities.

Professional Experience

Cheng Hu currently serves as an Associate Professor at the National Engineering Research Center for Biomaterials at Sichuan University, where he has been since July 2021. In this role, he leads various research projects focusing on smart biomaterials and drug delivery systems. Prior to this position, Hu gained significant experience in both academic and industrial settings, contributing to multidisciplinary teams that aimed to develop innovative solutions for biomedical challenges. His work involves extensive collaboration with clinicians and researchers, facilitating the translation of research findings into practical applications. Hu has also participated in numerous international conferences, presenting his findings and engaging with peers in the field. His professional experience has established him as a respected figure in biomedical engineering, known for his dedication to research excellence and innovation. Through his leadership and mentorship, Hu inspires the next generation of scientists while advancing the field of biomaterials.

Research Interests

Cheng Hu’s primary research interests lie in the development of microenvironment-responsive delivery systems, with a strong emphasis on smart biomaterials and their biomedical applications. His work focuses on innovative approaches to drug delivery, particularly through the use of hydrogels that respond to physiological stimuli. This includes exploring their potential in treating conditions such as myocardial infarction and stroke. Additionally, Hu is passionate about the construction of multifunctional hydrogels that integrate anti-inflammatory and pro-angiogenic properties for enhanced tissue regeneration. His research extends to the field of cardiovascular diseases, where he aims to create materials that improve patient outcomes through targeted therapies. By investigating the interplay between materials chemistry and biomedical engineering, Hu seeks to bridge the gap between basic research and clinical applications, ultimately contributing to the advancement of regenerative medicine.

Research Skills

Cheng Hu possesses a diverse array of research skills that underpin his contributions to biomaterials and biomedical engineering. His expertise encompasses the synthesis and characterization of novel hydrogels and biomaterials, employing techniques such as organic synthesis, materials chemistry, and polymer science. Hu is proficient in developing and optimizing drug delivery systems that respond to specific physiological triggers, enhancing therapeutic efficacy. Additionally, he has strong analytical skills, enabling him to conduct in-depth evaluations of material properties and their interactions with biological systems. His proficiency in various characterization techniques, including spectroscopy and microscopy, further strengthens his research capabilities. Hu is also experienced in collaborating with interdisciplinary teams, fostering communication and innovation in project development. His commitment to rigorous scientific methodology and continuous learning enables him to stay at the forefront of advancements in biomaterials and biomedical research.

Awards and Honors

Cheng Hu has received numerous accolades for his contributions to the field of biomedical engineering, recognizing his innovative research and commitment to excellence. His work has been published in high-impact journals, garnering citations and praise from peers worldwide. Hu has been invited to present his research at prestigious international conferences, showcasing his role as a leader in the field. His editorial involvement with various academic journals highlights his recognition as an expert in biomaterials, further solidifying his reputation within the scientific community. Additionally, he has been acknowledged for his collaborative efforts, receiving funding for several research projects aimed at advancing smart biomaterials for medical applications. These awards and honors reflect Hu’s dedication to pushing the boundaries of biomedical engineering and his ongoing contributions to improving patient care through innovative research.

Conclusion:

Cheng Hu is a commendable candidate for the Excellence in Innovation award, demonstrating a strong foundation in biomedical research with notable contributions to smart biomaterials. His innovative approaches to drug delivery and tissue engineering are poised to make significant impacts in clinical applications. By addressing the suggested areas for improvement, he could further enhance his influence and leadership in the field, ensuring that his research translates into meaningful innovations for patient care.

Publications Top Notes

  1. Eco-toxicological effects assessment: comparative characteristics of environmental conditions and Dynamically crosslinked ECM-like hydrogels loaded with ROS-responsive drug nanoparticles for treating inflammation in myocardial infarction and stroke
    • Authors: Wang, Z., Hu, C., Zhang, W., Yang, L., Wang, Y.
    • Year: 2024
  2. Effects of flavor components of sauce-flavor Baijiu on ethanol metabolism and key enzyme activities in mice | 酱香型白酒风味成分对小鼠乙醇代谢及关键酶活性的影响
    • Authors: Han, R., Fang, S., Xia, Y., Zhao, Y., Hu, C.
    • Year: 2024
  3. Remodeling brain pathological microenvironment to lessen cerebral ischemia injury by multifunctional injectable hydrogels
    • Authors: Zhang, W., Liu, Y., Wang, Z., Hu, C., Wang, Y.
    • Year: 2024
  4. Progress of Research on Conductive Hydrogels in Flexible Wearable Sensors
    • Authors: Cao, J., Wu, B., Yuan, P., Liu, Y., Hu, C.
    • Year: 2024
  5. A Whole-Course-Repair System Based on Stimulus-Responsive Multifunctional Hydrogels for Myocardial Tissue Regeneration
    • Authors: Liu, W., Long, L., Wang, Z., Hu, C., Wang, Y.
    • Year: 2024
  6. An injectable carrier for spatiotemporal and sequential release of therapeutic substances to treat myocardial infarction
    • Authors: Liu, W., Hu, C., Long, L., Yang, L., Wang, Y.
    • Year: 2024
  7. A Versatile Glycopeptide Hydrogel Promotes Chronic Refractory Wound Healing Through Bacterial Elimination, Sustained Oxygenation, Immunoregulation, and Neovascularization
    • Authors: Wu, Y., Wang, Y., Zheng, C., Zhang, H., Wang, Y.
    • Year: 2023
  8. Rational Design of Multifunctional Hydrogels for Wound Repair
    • Authors: Cao, J., Wu, B., Yuan, P., Liu, Y., Hu, C.
    • Year: 2023
  9. Polyphenol-mediated sandwich-like coating promotes endothelialization and vascular healing
    • Authors: Wan, H., Li, Y., Qin, Y., Zhang, B., Wang, Y.
    • Year: 2023
  10. Combining HUMSC secretome and a conductive hydrogel enhances angiogenesis and electrical transmission at myocardial infarct sites to support cardiac repair
    • Authors: He, S.-Y., Long, L.-Y., Wang, Z.-C., Li-Yang, Wang, Y.-B.
    • Year: 2023

 

 

 

 

Abid Iqbal | Artificial Intelligence | Best Researcher Award

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Assist Prof Dr. Abid Iqbal | Artificial Intelligence | Best Researcher Award

Assistant Professor at King Faisal University, Saudi Arabia

Dr. Abid Iqbal is an accomplished Assistant Professor at the University of Engineering and Technology Peshawar, specializing in Electrical Engineering and artificial intelligence. He earned his Ph.D. from Griffith University, Australia, where he researched piezoelectric energy harvesters. With a strong academic background, he ranked first in his Master’s program at Ghulam Ishaq Khan Institute, Pakistan. Dr. Iqbal has a diverse professional experience, including roles as an Electrical Design Engineer and Research Assistant. His expertise encompasses developing embedded devices and innovative teaching methodologies, mentoring students, and conducting impactful research. He has successfully secured funding for multiple projects in AI applications for health and agriculture. Dr. Iqbal’s publication record includes numerous papers in reputable journals, reflecting his commitment to advancing knowledge in his field. His technical skills in programming and software further enhance his research capabilities, making him a valuable asset to academia and industry.

Profile

Education

Dr. Abid Iqbal is a highly accomplished academic with a solid educational foundation in electrical and electronics engineering. He earned his Ph.D. from the Queensland Micro- and Nanotechnology Centre at Griffith University, Australia, from April 2013 to February 2017. His doctoral research focused on the design, fabrication, and analysis of aluminum nitride (AlN)/silicon carbide (SiC)-based piezoelectric energy harvesters, contributing significantly to renewable energy technologies. Prior to his Ph.D., Dr. Iqbal completed his Master’s degree in Electronics Engineering at the Ghulam Ishaq Khan Institute in Topi, Swabi, Pakistan, graduating with a remarkable GPA of 3.88/4 and securing the top position in his class. His academic journey began with a Bachelor’s degree in Electrical Engineering from the University of Engineering & Technology in Peshawar, Pakistan, where he was recognized as an outstanding student. Dr. Iqbal’s educational background reflects his dedication and expertise in his field, laying a strong foundation for his professional career.

Professional Experience

Dr. Abid Iqbal is an accomplished electrical engineer currently serving as an Assistant Professor at the University of Engineering and Technology Peshawar since August 2019. In this role, he has been instrumental in teaching undergraduate courses in Electrical Engineering, developing innovative teaching methods, and mentoring students on research projects. Prior to this position, he worked as an Electrical Design Engineer at Alliance Power and Data in Australia, focusing on ERGON and NBN projects. He also contributed to the development of embedded systems for individuals with disabilities while employed as an Electronic Engineer at Community Lifestyle Support. His research experience includes a significant role as a Research Assistant at Griffith University, where he worked on piezoelectric devices for harsh environments and gained expertise in various semiconductor fabrication processes. Additionally, he has served as a lecturer at Comsat Institute of Information Technology and worked as a research associate at the City University of Hong Kong, demonstrating a robust and diverse professional background in academia and industry.

Research Interest

Dr. Abid Iqbal’s research interests lie at the intersection of electrical engineering and artificial intelligence, focusing on the development of innovative technologies that enhance energy efficiency and improve healthcare outcomes. His work includes designing and fabricating advanced piezoelectric energy harvesters using AlN/SiC materials, aimed at harnessing renewable energy sources. Additionally, Dr. Iqbal is deeply involved in projects utilizing artificial intelligence for agricultural applications, such as real-time disease detection in crops, and developing telehealth systems that leverage IoT technology to monitor patient health remotely. He has a keen interest in embedded systems and the design of hardware for assistive technologies, including portable ventilators and muscle sensors for individuals with disabilities. Through his research, Dr. Iqbal aims to contribute to sustainable energy solutions and advancements in healthcare technology, fostering a multidisciplinary approach that integrates engineering principles with artificial intelligence for practical applications.

Research Skills

Dr. Abid Iqbal possesses a robust set of research skills that underscore his expertise in Electrical Engineering and artificial intelligence. His extensive experience in designing and fabricating piezoelectric energy harvesters highlights his proficiency in materials science and device characterization. Dr. Iqbal is adept at using advanced simulation tools such as COMSOL, Ansys, and Coventorware, which facilitate in-depth analysis and optimization of microelectromechanical systems (MEMS). His work on artificial intelligence applications in telehealth and agricultural systems showcases his ability to integrate machine learning techniques with practical engineering solutions. Additionally, Dr. Iqbal has a strong background in programming languages such as Python and MATLAB, enhancing his capability to develop innovative software solutions for complex engineering problems. His involvement in funded projects and numerous publications further illustrates his commitment to advancing research and contributing to knowledge in his field. Overall, Dr. Iqbal’s diverse skills position him as a valuable asset to any research team.

Award and Recognition

Dr. Abid Iqbal is a distinguished electrical engineer and academic known for his significant contributions to the field of electrical and electronics engineering. He has received multiple accolades for his research and academic excellence, including the IGNITE funding for four innovative projects focused on machine learning applications in health and agriculture. Dr. Iqbal was awarded publication scholarships and prestigious Griffith University PhD scholarships, recognizing his outstanding academic performance during his doctoral studies. Additionally, he ranked first among his peers in the Master’s program at Ghulam Ishaq Khan Institute, further demonstrating his commitment to excellence in engineering. His dedication to teaching and mentoring future engineers is evident in his role as an Assistant Professor at the University of Engineering and Technology Peshawar, where he has developed innovative curricula and guided numerous student research projects. Dr. Iqbal’s work has been widely published, contributing significantly to advancements in artificial intelligence, embedded systems, and renewable energy technologies.

Conclusion

Dr. Abid Iqbal is a highly qualified candidate for the Best Researcher Award, demonstrating exceptional expertise in Electrical Engineering and a strong commitment to research and education. His accomplishments in renewable energy research, successful project management, and dedication to mentoring future engineers make him a standout choice. While he has areas for growth, particularly in expanding collaborative networks and enhancing commercialization efforts, his current achievements and potential for future contributions position him as an inspiring figure in his field. This award would not only recognize his past efforts but also encourage his continued pursuit of excellence in research and education.

Publication Top Notes

  1. Enhanced TumorNet: Leveraging YOLOv8s and U-net for superior brain tumor detection and segmentation utilizing MRI scans
    • Authors: Zafar, W., Husnain, G., Iqbal, A., AL-Zahrani, M.S., Naidu, R.S.
    • Year: 2024
    • Journal: Results in Engineering
    • Volume/Page: 24, 102994
  2. Novel dual absorber configuration for eco-friendly perovskite solar cells: design, numerical investigations and performance of ITO-C60-MASnI3-RbGeI3-Cu2O-Au
    • Authors: Hasnain, S.M., Qasim, I., Iqbal, A., Amin Mir, M., Abu-Libdeh, N.
    • Year: 2024
    • Journal: Solar Energy
    • Volume/Page: 278, 112788

 

 

 

Abhishek Jha| Pharmacology | Best Researcher Award

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Mr. Abhishek Jha|Pharmacology|Best Researcher Award

Mr. Abhishek Jha, Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, India.

Abhishek Jha is a final-year doctoral candidate at the Indian Institute of Technology (BHU), Varanasi, specializing in Pharmaceutical Engineering and Technology. His research focuses on developing nanomedicine-based therapeutic strategies, particularly for breast and lung cancer treatments. Abhishek has hands-on experience with a range of sophisticated instruments, including HPLC, SEM, and fluorescence microscopy, and is proficient in various software used for data analysis and drug formulation. He has contributed to multiple high-impact publications in areas such as targeted drug delivery, nanofiber-based wound healing, and tuberculosis therapy. His projects involve innovative approaches, including redox-responsive nanocarriers and pulmonary nanocrystals, aimed at improving the efficacy and specificity of cancer treatments. With a passion for research and mentoring, Abhishek has guided several undergraduate and postgraduate students. His work, recognized in peer-reviewed journals, reflects his commitment to advancing pharmaceutical sciences, making him a strong contender for research excellence awards.

Profile

Education

Abhishek Jha is a dedicated scholar with a robust educational background in pharmaceutical sciences. He is currently pursuing a Ph.D. in Pharmaceutical Engineering and Technology at the prestigious Indian Institute of Technology (IIT-BHU), Varanasi. His doctoral research, initiated in July 2019, focuses on innovative strategies for nanomedicine-based treatments for breast cancer, with a particular emphasis on tumor-targeted drug delivery systems. Prior to this, Abhishek earned his Master of Pharmacy (M.Pharm) from the same institution in June 2019, specializing in Pharmaceutics. During his postgraduate studies, he achieved an impressive C.G.P.A. of 9.43, showcasing his academic excellence. His foundation in the field was laid during his Bachelor of Pharmacy (B.Pharm) studies at KIET School of Pharmacy, affiliated with AKTU, Ghaziabad, where he graduated with a strong 85.8% in 2017. Abhishek’s education reflects his deep commitment to pharmaceutical research and innovation, laying the groundwork for his promising career in academia and industry.

Professional Experience

Abhishek Jha is a Senior Research Fellow at the Indian Institute of Technology (BHU), Varanasi, where he has been working since July 2019. He is currently pursuing his doctoral degree under the supervision of Prof. Brahmeshwar Mishra, focusing on developing nanomedicine-based strategies for breast cancer therapy. His research includes creating redox-responsive, self-assembled systems for targeted drug delivery and localized breast cancer treatments using dissolving microneedles. Abhishek has extensive experience in the development of nanofibrous matrices for wound healing and tissue regeneration, and has mentored over 20 M. Tech and B. Tech students. Prior to his doctoral research, he worked as a Post-graduate Research Scholar at IIT (BHU) from January 2018 to June 2019, where he gained expertise in fabricating polymeric nanoparticles, micelles, liposomes, and hydrogels, and optimized various disease models for lung and breast cancer, diabetes, and infections in rats, applying QbD approaches for formulation optimization.

Research Interest

Abhishek Jha’s research interests lie at the intersection of pharmaceutical sciences and nanomedicine, focusing on innovative drug delivery systems for targeted cancer therapies. His work emphasizes the development of nanocarriers that enhance the selective accumulation of therapeutics in tumor sites, particularly in the treatment of breast and lung cancers. Jha is particularly skilled in designing redox-responsive self-assembled systems and microneedle technologies to facilitate localized drug delivery. Additionally, he investigates nanofibrous scaffolds with wound healing and anti-infective properties, aiming to improve patient outcomes in chronic diabetic wounds. His extensive experience in formulating various nanomedicines, including polymeric nanoparticles, liposomes, and hydrogels, showcases his commitment to advancing drug delivery approaches. Through his research, Jha aims to contribute significantly to the fields of pharmaceutics and biomedical engineering, ultimately improving therapeutic efficacy and patient care in complex disease management.

Research Skills

Abhishek Jha possesses a robust set of research skills that significantly contribute to his expertise in pharmaceutical engineering and technology. His hands-on experience with sophisticated instruments such as High-Performance Liquid Chromatography, Electron Microscopes, and Atomic Force Microscopes demonstrates his proficiency in advanced analytical techniques. Abhishek’s adeptness in interpreting various spectra for drug characterization, including Differential Scanning Calorimetry and Nuclear Magnetic Resonance spectroscopy, showcases his comprehensive understanding of pharmaceutical formulations. He has successfully developed nanomedicine-based strategies for cancer treatment, exhibiting strong problem-solving skills and innovative thinking. His involvement in mentoring over 20 M. Tech and B. Tech students highlights his leadership abilities and commitment to collaborative research. Additionally, Abhishek’s proficiency in software tools like JMP and Minitab enhances his capacity for data analysis and interpretation. Overall, his combination of technical expertise, mentoring experience, and analytical skills positions him as a valuable asset in the field of pharmaceutical research.

Award and Recognition

Abhishek Jha, a promising final-year doctoral candidate at the Indian Institute of Technology (BHU), Varanasi, has garnered notable recognition for his innovative research in pharmaceutical engineering and drug delivery systems. His work on developing nanomedicine-based strategies for breast cancer treatment has been published in prestigious journals, earning him accolades in the scientific community. Abhishek’s contributions include developing targeted therapies and biomaterials for chronic wound healing, showcasing his commitment to addressing complex medical challenges. He has actively engaged in mentoring over 20 undergraduate and graduate students, reflecting his dedication to fostering the next generation of researchers. His publications in high-impact journals, alongside collaborations with esteemed institutions, further underscore his reputation as a rising star in pharmaceutical sciences. Abhishek’s achievements have not only positioned him as a thought leader in his field but also earned him recognition within academic circles for his innovative approach to drug delivery and cancer therapy.

Conclusion

Abhishek Jha is a highly capable researcher with exceptional skills in nanomedicine and drug delivery systems. His academic excellence, technical proficiency, and extensive publication record position him as a strong contender for the Best Researcher Award. By broadening his research scope and further engaging with industry and public platforms, he could reach new heights in his career, making him a well-deserved candidate for recognition in his field.

Publication Top Notes

  • Electrospun nanofiber-based drug delivery platform: advances in diabetic foot ulcer management
    DR Madhukiran, A Jha, M Kumar, G Ajmal, GV Bonde, B Mishra
    Expert Opinion on Drug Delivery 18 (1), 25-42, 2021.
  • Targeted drug nanocrystals for pulmonary delivery: a potential strategy for lung cancer therapy
    M Kumar, A Jha, M Dr, B Mishra
    Expert Opinion on Drug Delivery 17 (10), 1459-1472, 2020.
  • Mannose receptor targeted bioadhesive chitosan nanoparticles of clofazimine for effective therapy of tuberculosis
    DM Pawde, MK Viswanadh, AK Mehata, R Sonkar, S Poddar, AS Burande, …
    Saudi Pharmaceutical Journal 28 (12), 1616-1625, 2020.
  • DNA biodots based targeted theranostic nanomedicine for the imaging and treatment of non-small cell lung cancer
    A Jha, MK Viswanadh, AS Burande, AK Mehata, S Poddar, K Yadav, …
    International Journal of Biological Macromolecules 150, 413-425, 2020.
  • Gold liposomes for brain-targeted drug delivery: Formulation and brain distribution kinetics
    R Sonkar, A Jha, MK Viswanadh, AS Burande, DM Pawde, KK Patel, …
    Materials Science and Engineering: C 120, 111652, 2021.
  • Novel redox-sensitive thiolated TPGS based nanoparticles for EGFR targeted lung cancer therapy
    MK Viswanadh, N Agrawal, S Azad, A Jha, S Poddar, SK Mahto, …
    International Journal of Pharmaceutics 602, 120652, 2021.
  • Formulation and In Vivo Efficacy Study of Cetuximab Decorated Targeted Bioadhesive Nanomedicine for Non-Small-Cell Lung Cancer Therapy
    MK Viswanadh, Vikas, A Jha, SK Reddy Adena, AK Mehata, V Priya, …
    Nanomedicine 15 (24), 2345-2367, 2020.
  • Treatment of H. pylori infection and gastric ulcer: Need for novel Pharmaceutical formulation
    A Gupta, S Shetty, S Mutalik, K Nandakumar, EM Mathew, A Jha, B Mishra, …
    Heliyon 9 (10), 2023.
  • Nanocarriers for tuberculosis therapy: design of safe and effective drug delivery strategies to overcome the therapeutic challenges
    K Sarkar, M Kumar, A Jha, K Bharti, M Das, B Mishra
    Journal of Drug Delivery Science and Technology 67, 102850, 2022.
  • Advances in lipid-based pulmonary nanomedicine for the management of inflammatory lung disorders
    M Kumar, A Jha, K Bharti, G Parmar, B Mishra
    Nanomedicine 17 (12), 913-934, 2022.
  • Myricetin encapsulated chitosan nanoformulation for management of type 2 diabetes: preparation, optimization, characterization and in vivo activity
    M Upadhyay, RV Hosur, A Jha, K Bharti, PS Mali, AK Jha, B Mishra, …
    Biomaterials Advances 153, 213542, 2023.
  • DNA-Based Nanostructured Platforms as Drug Delivery Systems
    M Kumar, A Jha, B Mishra
    Chem & Bio Engineering 1 (3), 179-198, 2024.
  • Enhanced in vitro therapeutic efficacy of triphenyltin (IV) loaded vitamin E TPGS against breast cancer therapy
    M Singh, NK Rana, MS Muthu, A Jha, TSB Baul, B Koch
    Materials Today Communications 31, 103256, 2022.
  • Biopolymer-based tumor microenvironment-responsive nanomedicine for targeted cancer therapy
    A Jha, M Kumar, K Bharti, M Manjit, B Mishra
    Nanomedicine 19 (7), 633-651, 2024.
  • Fabrication of gelatin coated polycaprolactone nanofiber scaffolds co-loaded with luliconazole and naringenin for treatment of Candida infected diabetic wounds
    M Manjit, K Kumar, M Kumar, A Jha, K Bharti, P Tiwari, R Tilak, V Singh, …
    International Journal of Biological Macromolecules 261, 129621, 2024.
  • Formulation and characterization of polyvinyl alcohol/chitosan composite nanofiber co-loaded with silver nanoparticle & luliconazole encapsulated poly lactic-co-glycolic acid …
    M Manjit, M Kumar, A Jha, K Bharti, K Kumar, P Tiwari, R Tilak, V Singh, …
    International Journal of Biological Macromolecules 258, 128978, 2024.
  • Marine biopolymers for transdermal drug delivery
    M Kumar, A Jha, B Mishra
    Marine Biomaterials: Drug Delivery and Therapeutic Applications, 157-207, 2022.
  • Marine Biopolymer-Based Anticancer Drug Delivery Systems
    A Jha, M Kumar, B Mishra
    Marine Biomaterials: Drug Delivery and Therapeutic Applications, 351-401, 2022.
  • Metronidazole Loaded Polycaprolactone-Carbopol Blends Based Biodegradable Intrapocket Dental Film for Local Treatment of Periodontitis
    N Dhedage, G Khan, G Ajmal, M Kumar, A Jha, B Mishra
    Drug Delivery Letters 11 (1), 34-43, 2021.
  • Lipid-coated nanocrystals of paclitaxel as dry powder for inhalation: Characterization, in-vitro performance, and pharmacokinetic assessment
    M Kumar, A Jha, K Bharti, M Manjit, P Kumbhar, V Dhapte-Pawar, …
    Colloids and Surfaces B: Biointerfaces 237, 113865, 2021.

Tamal Pramanick | Scientific Computing |Best Researcher Award

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Assist Prof Dr. Tamal Pramanick | Scientific Computing |Best Researcher Award

Assist Prof Dr/Tamal Pramanick, National Institute of Technology (NIT) Calicut, India.

Dr. Tamal Pramanick is an Assistant Professor in the Department of Mathematics at NIT Calicut, specializing in numerical methods for partial differential equations, particularly finite element methods. He holds a PhD from IIT Guwahati, where his research focused on the development of two-scale composite finite element methods for parabolic problems in convex and nonconvex polygonal domains. Dr. Pramanick has received several prestigious fellowships, including the NBHM Post-Doctoral Fellowship at IISc Bangalore. His research has been published in numerous SCI-indexed journals, and he has been an invited speaker at international conferences. Dr. Pramanick is actively involved in guiding postgraduate dissertations and organizing academic events such as workshops and webinars. He has also secured research grants for projects on fractional order diffusion equations and nonlinear thermistor equations. His contributions to applied mathematics and his role in fostering academic collaboration make him a distinguished scholar in his field.

Profile

Education

The educational journey began with a Secondary education from the West Bengal Board of Secondary Education in 2006, achieving a percentage of 71.38%. Following that, Higher Secondary education was completed from the West Bengal Council of Higher Secondary Education in 2008, with a percentage of 70.29%. The pursuit of higher education continued with a B.Sc. in Mathematics from the University of Kalyani, West Bengal, from 2008 to 2011, securing a percentage of 70.75%. This was followed by an M.Sc. in Mathematics & Computing from the Indian Institute of Technology (IIT) Guwahati, where the candidate achieved a CPI of 8.23 from 2011 to 2013. The academic path culminated in a Ph.D. from IIT Guwahati, awarded on February 25, 2019, with a CPI of 8.25 for the coursework, focusing on “Two-Scale Composite Finite Element Method for Parabolic Problems in Convex and Nonconvex Polygonal Domains.”

Professional Experience

Dr. Tamal Pramanick is an accomplished Assistant Professor in the Department of Mathematics at NIT Calicut, serving since March 2020. He has a rich background in applied mathematics, with expertise in finite element methods and their applications in solving complex mathematical problems. Dr. Pramanick completed his PhD from the Indian Institute of Technology Guwahati in 2019, focusing on two-scale composite finite element methods for parabolic problems in convex and nonconvex domains. He has held a prestigious post-doctoral fellowship from the National Board of Higher Mathematics (NBHM) at IISc Bangalore. His professional contributions include serving as a reviewer, PhD selection committee member, course coordinator, and departmental seminar coordinator at NIT Calicut. Dr. Pramanick has led several research projects sponsored by national agencies and organized numerous conferences, workshops, and faculty development programs. His work is published in reputed journals, and he regularly delivers invited talks at international conferences and workshops.

Research Interest

Dr. Tamal Pramanick’s research interests lie in the field of applied mathematics, with a focus on numerical methods for solving partial differential equations, particularly the Finite Element Method (FEM) and its applications. His work explores the development and analysis of two-scale composite finite element methods for complex parabolic and elliptic problems in convex and nonconvex polygonal domains. Dr. Pramanick is particularly interested in improving the accuracy and efficiency of numerical solutions for nonlinear and semilinear parabolic equations, with applications spanning diverse fields such as thermistor equations, heat transfer, and diffusion processes. His research also extends to fractional order diffusion equations and mathematical modeling of physical systems. Through his interdisciplinary approach, Dr. Pramanick aims to contribute to advancements in computational mathematics and its practical applications in engineering, physics, and other sciences, making his work highly relevant to both academic research and industrial problem-solving.

Research Skills

Dr. Tamal Pramanick is a proficient researcher specializing in applied mathematics, particularly in the finite element method for complex problems in nonconvex polygonal domains. His expertise spans numerical analysis, mathematical modeling, and the development of error estimates for nonlinear parabolic equations. Dr. Pramanick has demonstrated advanced skills in multi-scale composite finite element methods, with significant contributions to solving fractional-order diffusion equations and semilinear parabolic problems. His research includes high-level computational simulations and analytical techniques for addressing real-world mathematical challenges. He has successfully secured research funding for multiple projects, including Faculty Research Seed Grants and prestigious National Board of Higher Mathematics (NBHM) projects. Additionally, Dr. Pramanick’s experience extends to guiding postgraduate dissertations on topics like heat equations and delay differential equations, while his prolific publications in SCI-indexed journals further attest to his research caliber. His role as an invited speaker and coordinator for various academic events reflects his strong leadership and collaborative research capabilities

Award and Recognition

Dr. Tamal Pramanick, an accomplished Assistant Professor at NIT Calicut, has received multiple awards and recognition for his outstanding contributions to mathematics and computational science. He qualified the prestigious Joint Admission Test for M.Sc. (JAM) in 2011 and the Graduate Aptitude Test in Engineering (GATE) in 2013, both in Mathematics. During his academic journey at IIT Guwahati, he was a recipient of the Merit cum Means Scholarship and awarded Junior and Senior Research Fellowships (JRF and SRF) from 2013 to 2018. In 2019, Dr. Pramanick achieved the National Eligibility Test (NET) for Lectureship and was selected for the National Board of Higher Mathematics (NBHM) Postdoctoral Fellowship. His innovative research has earned him prestigious grants, including a Faculty Research Seed Grant and NBHM-funded projects, advancing his work in finite element methods and nonlinear equations. His invited talks at international conferences further highlight his scholarly impact on the global stage.

Conclusion

 Dr. Tamal Pramanick is a highly qualified candidate with a solid track record of research, teaching, and leadership. His achievements in securing grants, organizing academic programs, and contributing to mathematical research through high-impact publications position him as a strong contender for the Best Researcher Award. With minor improvements in international collaboration and interdisciplinary research, his candidacy would be even stronger.

Publication Top Notes

  • Error estimates for two-scale composite finite element approximations of parabolic equations with measure data in time for convex and nonconvex polygonal domains

Authors: T. Pramanick, R.K. Sinha

Citation: Applied Numerical Mathematics, 143, 112-132

Year: 2019

  • Two-scale composite finite element method for parabolic problems with smooth and nonsmooth initial data

Authors: T. Pramanick, R.K. Sinha

Citation: Journal of Applied Mathematics and Computing, 58, 469-501

Year: 2018

  • A hybrid high-order method for quasilinear elliptic problems of nonmonotone type

Authors: T. Gudi, G. Mallik, T. Pramanick

Citation: SIAM Journal on Numerical Analysis, 60(4), 2318-2344

Year: 2022

  • Composite Finite Element Approximation for Parabolic Problems in Nonconvex Polygonal Domains

Authors: T. Pramanick, R.K. Sinha

Citation: Computational Methods in Applied Mathematics, 20(2), 361-378

Year: 2020

  • Composite finite element approximation for nonlinear parabolic problems in nonconvex polygonal domains

Authors: T. Pramanick, R.K. Sinha

Citation: Numerical Methods for Partial Differential Equations, 34(6), 2316-2335

Year: 2018

  • Adaptation of the composite finite element framework for semilinear parabolic problems

Authors: A. Anand, T. Pramanick

Citation: Journal of Numerical Analysis and Approximation Theory, 53(1), 26-53

Year: 2024

  • Error estimates for finite element approximations of nonlinear parabolic problems in nonconvex polygonal domains

Authors: T. Pramanick, S. Mahata, R.K. Sinha

Citation: Advances in Mathematics: Scientific Journal, 9(9), 6513-6524

Year: 2020

  • Two scale composite finite element method for parabolic problems in convex and nonconvex polygonal domains

Authors: T. Pramanick

Citation: Guwahati

Year: 2019

  • Managing error estimates for semidiscrete finite element approximations of semilinear parabolic equations in a nonconvex polygon

Authors: T. Pramanick

Year: 2018

  • Adaptation of a variant of finite element method for the evolution equation in nonconvex domain

Authors: A. Anand, T. Pramanick

Event: 2025 Joint Mathematics Meetings (JMM 2025)

  • Composite finite element method implementation for nonlinear parabolic problems in nonconvex domains

Authors: T. Pramanick, R.K. Sinha

Year: Not specified in your list

  • Fully discrete finite element approximations of semilinear parabolic equations in a nonconvex polygon

Authors: T. Pramanick, R.K. Sinha

Year: Not specified in your list

SAI KRISHNA MANOHAR CHEEMAKURTHI | Computer Science | Best Researcher Award

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Mr. Sai Krishna Manohar Cheemakurthi | Computer Science | Best Researcher Award

Sai Krishna Manohar Cheemakurthi, U.S. BANK, United States.

Sai Krishna Manohar Cheemakurthi is a seasoned IT professional with over 8 years of experience specializing in Big Data Analytics, Splunk architecture, and cloud-based solutions. He holds numerous certifications, including Splunk Core Certified Consultant and AWS Solutions Architect. Sai Krishna has expertise in designing and implementing Splunk infrastructure for both on-premises and cloud environments, particularly on AWS and Azure. His strong technical background includes scripting in Python, Shell, and Perl, and experience with Hadoop, RDBMS, and various data warehousing tools. Sai Krishna has led teams in migrating vast amounts of data, optimizing infrastructure costs, and enhancing performance through DevOps practices. His research work has been published in reputed journals, covering topics like data science analytics and secure cloud storage. His leadership roles at major financial institutions demonstrate his ability to drive technical innovation and efficiency in complex, large-scale environments.

Profile:

Education

Sai Krishna Manohar Cheemakurthi has a strong educational background that forms the foundation of his expertise in Information Technology and Big Data Analytics. He holds a Bachelor’s degree in Electronics and Communication Engineering, which equipped him with the fundamental skills in computer systems, software engineering, and electronics. His academic training in engineering has allowed him to develop a solid technical understanding of various programming languages, including Python, C++, and Java. Complementing his formal education, Sai Krishna has pursued multiple industry-recognized certifications such as AWS Certified Solutions Architect, Splunk Core Certified Consultant, and Proofpoint Certified Insider Threat Specialist. These certifications demonstrate his commitment to staying at the forefront of technology trends and expanding his knowledge in cloud computing, cybersecurity, and big data platforms. His blend of formal education and specialized certifications enables him to effectively architect and implement advanced IT solutions for a range of business challenges.

Professional Experiences 

Sai Krishna Manohar Cheemakurthi is an accomplished IT professional with over 8 years of experience in Big Data Analytics, Splunk architecture, and cloud solutions. Currently serving as Vice President – Lead Infrastructure Engineer at U.S. Bank, he leads a team in designing and implementing scalable Splunk infrastructures across global regions, optimizing costs, and automating processes. Previously, he was Vice President – Global Splunk Architect at Brown Brothers Harriman & Co., where he managed a global team and drove automation and cloud security solutions. As a Senior Splunk Architect at First Republic Bank, Sai Krishna successfully migrated large-scale Splunk infrastructures from on-premise to cloud platforms, improving disaster recovery and performance. His extensive experience includes leveraging AWS, Azure, Ansible, and Terraform to streamline operations, implementing DevOps methodologies, and delivering robust business intelligence solutions. Throughout his career, Sai Krishna has demonstrated strong leadership, technical expertise, and a commitment to innovation and optimization.

Awards and Honors

Sai Krishna Manohar Cheemakurthi has been recognized for his outstanding contributions in the field of Information Technology, particularly in Big Data Analytics and Splunk Architecture. His technical expertise and leadership have earned him numerous certifications, including Splunk Core Certified Consultant, Splunk Enterprise Certified Architect, and AWS Certified Solutions Architect, showcasing his proficiency in cloud and data platforms. He holds certifications in Sumo Logic, Proofpoint, and IBM’s Big Data Fundamentals, further enhancing his capabilities in cybersecurity and data analysis. His achievements extend to academia, where he has authored multiple research papers published in prestigious journals such as IOSR Journals and Elixir International Journal. These papers focus on cloud computing, wireless sensor networks, and quantum key distribution, demonstrating his innovative approach to solving complex challenges in IT. Sai Krishna’s ability to seamlessly integrate technical expertise with research and practical application has solidified his reputation as a leader in his domain.

Research Interest

Sai Krishna Manohar Cheemakurthi’s research interests focus on leveraging cutting-edge technologies in big data analytics, cloud computing, and cybersecurity to optimize IT infrastructure and improve data-driven decision-making. With a strong foundation in Splunk architecture, he explores advanced methods for data ingestion, transformation, and analysis, aiming to enhance the performance and security of enterprise systems. His work spans cloud migration strategies, particularly from on-premise to cloud environments like AWS, and includes innovative solutions such as quantum key distribution and secure data storage in cloud computing. Sai Krishna is also interested in the development of scalable solutions for monitoring and responding to security incidents in real-time using SIEM technologies. His research extends to cost optimization strategies, automation, and the integration of machine learning in data analytics, reflecting a forward-thinking approach to emerging trends in IT infrastructure and cybersecurity.

Research Skills

Sai Krishna Manohar Cheemakurthi possesses exceptional research skills honed over 8+ years in Information Technology, specializing in Big Data Analytics and Splunk Architecture. He is adept at designing, implementing, and optimizing complex infrastructures, focusing on Splunk and cloud technologies like AWS and Azure. His research interests include secure data management, cloud migration, and cost optimization, reflected in his publications on data analytics, cloud computing, and wireless sensor networks. Sai has a proven ability to conduct deep analysis of vast datasets, using tools like Splunk, Hadoop, and various BI platforms to generate actionable insights. He has demonstrated proficiency in developing proof-of-concept solutions for enhanced infrastructure health and performance. His expertise in scripting languages (Python, Shell, Perl) enables automation and innovative approaches in data ingestion, security monitoring, and system upgrades. Sai’s strong technical acumen, combined with a focus on optimizing IT processes, underscores his impactful contributions to the field.

Publication Top Notes
  • Cloud Observability In Finance: Monitoring Strategies For Enhanced Security
    • Authors: NB Kilaru, SKM Cheemakurthi
    • Year: 2023
    • Journal: NVEO-Natural Volatiles & Essential Oils
    • Volume/Issue/Page: 10(1), 220-226
  • Mitigating Threats in Modern Banking: Threat Modeling and Attack Prevention with AI and Machine Learning
    • Authors: SK Manohar, V Gunnam, NB Kilaru
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
  • Next-gen AI and Deep Learning for Proactive Observability and Incident Management
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education
    • Volume/Issue/Page: 13(3), 1550-1564
  • Scaling DevOps with Infrastructure as Code in Multi-Cloud Environments
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education
    • Volume/Issue/Page: 13(3), 1189-1200
  • Advanced Anomaly Detection In Banking: Detecting Emerging Threats Using SIEM
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2021
    • Journal: International Journal of Computer Science and Mechatronics (IJCSM)
    • Volume/Issue/Page: 7(04), 28-33
  • Analytics of Data Science using Big Data
    • Authors: CSK Manohar
    • Year: 2013
    • Journal: IOSR Journal of Computer Engineering
    • Volume/Issue/Page: 10(2), 19-21
  • AI-Powered Fraud Detection: Harnessing Advanced Machine Learning Algorithms for Robust Financial Security
    • Authors: SKM Cheemakurthi, NB Kilaru, V Gunnam
    • Year: (Not provided)
  • Deep Learning Models For Fraud Detection In Modernized Banking Systems: Cloud Computing Paradigm
    • Authors: Y Vasa, SKM Cheemakurthi, NB Kilaru
    • Year: (Not provided)
  • SOAR Solutions in PCI Compliance: Orchestrating Incident Response for Regulatory Security
    • Authors: NB Kilaru, SKM Cheemakurthi, V Gunnam
    • Year: (Not provided)
  • AI-Driven SOAR in Finance: Revolutionizing Incident Response and PCI Data Security with Cloud Innovations
    • Authors: V Gunnam, SKM Cheemakurthi, NB Kilaru
    • Year: (Not provided)

 

 

Weile Kong | Power system | Best Researcher Award

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Mr. Weile Kong | Power system | Best Researcher Award

Student, Anhui University of Science and Technology, China

Weile Kong, a Master’s student at Anhui University of Science and Technology, is a promising researcher specializing in electrical engineering and automation. He has demonstrated strong academic performance, evidenced by multiple scholarships and awards, including the First Class Academic Scholarship and the Internet+ Second Prize. His research contributions are notable, with several high-impact SCI papers and patents under review. Kong’s work focuses on energy systems and optimization algorithms, supported by grants from the Energy Internet Joint Fund and the National Natural Science Foundations of China. His personal attributes—responsibility, strong communication skills, and perseverance—enhance his research potential. To further strengthen his profile, Kong could benefit from expanding his research scope, gaining international recognition, and taking on leadership roles in the academic community. Overall, his achievements reflect a strong foundation for continued success and recognition in the field of electrical engineering.

Profile

Education

Weile Kong’s educational journey showcases a robust foundation in engineering and a commitment to academic excellence. He earned his Bachelor of Engineering in Automation from Anhui University of Science and Technology in June 2022, where he developed a solid understanding of electrical engineering principles and automation technologies. Currently, he is pursuing a Master’s degree in Electrical Engineering at the same institution, having commenced his studies in September 2022. This advanced education has allowed him to delve deeper into specialized areas such as electric load analysis, integrated energy system optimization, and intelligent optimization algorithms. Throughout his academic career, Kong has been recognized for his outstanding performance, receiving both the First Class and Third Class Academic Scholarships. His ongoing research and coursework reflect a strong focus on innovative solutions within energy systems and optimization, underscoring his dedication to advancing the field of electrical engineering.

Professional Experience

Weile Kong, currently pursuing a Master’s degree in Electrical Engineering at Anhui University of Science and Technology, has accumulated significant professional experience in the field of energy systems and optimization. His academic journey began with a Bachelor’s degree in Automation, where he laid a solid foundation in electrical engineering principles. Kong’s research experience includes working on high-impact projects funded by notable grants such as the Energy Internet Joint Fund and the National Natural Science Foundations of China. His contributions to the field are evident in his publications, including influential papers on integrated energy system optimization and intelligent algorithms, with several works under peer review and patents pending. His role as both a first author and a corresponding author highlights his leadership in research. Kong’s involvement in projects funded by the Science and Technology Project of State Grid Anhui Electric Power Co., Ltd. and Anhui University of Science and Technology Innovation Fund further underscores his commitment and expertise in advancing energy solutions.

Research Interest

Weile Kong’s research interests focus on advanced energy systems and optimization techniques, specifically within the realm of electrical engineering. His work involves feature extraction and load clustering for electric load analysis, aiming to improve the efficiency of energy consumption. Kong is also deeply engaged in optimizing integrated energy systems, including microgrid power scheduling and the utilization of intelligent optimization algorithms. His recent projects explore innovative solutions for low-carbon energy integration and demand response mechanisms, incorporating advanced optimization techniques such as the redbilled blue magpie optimizer. Additionally, Kong is involved in developing new methods for high-energy-consuming plant load characterization and has secured patents for his innovative approaches. His research not only addresses theoretical aspects but also emphasizes practical applications, contributing to the development of sustainable and efficient energy systems.

Research Skills

Weile Kong exhibits robust research skills characterized by a deep understanding of electrical engineering and automation. His expertise spans several critical areas, including electric load feature extraction, load clustering, and integrated energy system optimization. Kong’s proficiency with intelligent optimization algorithms, coupled with his ability to apply these techniques in real-world scenarios, highlights his technical acumen. His research contributions, including first-author publications in high-impact SCI journals and innovative patents, reflect a high level of analytical and problem-solving capabilities. Kong demonstrates exceptional research skills in data analysis and algorithm development, essential for advancing energy systems and optimization methodologies. Additionally, his success in securing competitive grants and awards showcases his ability to effectively communicate research significance and potential impact. His dedication to continuous learning and improvement, combined with strong organizational and teamwork skills, further underscores his commitment to excellence in research.

Award and Recognition

Weile Kong has demonstrated exceptional academic and research prowess, earning notable recognition in his field. As a dedicated student at Anhui University of Science and Technology, he has been awarded the First Class Academic Scholarship in 2022 and the Third Class Academic Scholarship in 2023, reflecting his academic excellence. Kong’s innovative research has been acknowledged with the Internet+ Second Prize at the school level in 2024. His significant contributions include first-author papers in high-impact SCI journals and patents under review, highlighting his impact on integrated energy systems and optimization algorithms. His research has garnered support from prestigious grants, including the National Natural Science Foundations of China and the Energy Internet Joint Fund of Anhui Province. These achievements underscore his commitment to advancing his field and his potential for further recognition as a leading researcher.

 Conclusion

Weile Kong demonstrates strong academic performance, innovative research contributions, and potential for significant impact in his field. His achievements, including high-quality publications, patents, and research funding, underscore his dedication and capability. However, to strengthen his candidacy for the Research for Best Researcher Award, he could focus on broadening the impact of his research, enhancing leadership experience, and increasing international visibility. By addressing these areas, Weile Kong could further solidify his position as a leading researcher in his field.

Publication Top Notes

  1. Optimal schedule for virtual power plants based on price forecasting and secant line search aided sparrow searching algorithm”
    • Authors: Wu, H., Feng, B., Yang, P., Kong, W., Peng, X.
    • Year: 2024
    • Journal: Frontiers in Energy Research
    • DOI: Not available
  2. “Robust Price-based EV Load Management Considering Human-choice Uncertainty”
    • Authors: Kong, W., Ye, H., Ge, Y.
    • Year: 2024
    • Journal: IEEE Transactions on Transportation Electrification
    • DOI: Not available
  3. “Corrigendum to ‘Dynamic pricing based EV load management in distribution network'”
  4. “Optimization of Inter-Regional Flexible Resources for Renewable Accommodation”
    • Authors: Kong, W., Ye, H., Wei, N., Liu, S., Chen, W.
    • Year: 2023
    • Conference: 2023 5th Asia Energy and Electrical Engineering Symposium (AEEES 2023)
    • DOI: Not available
    • Citations: 1
  5. “Dynamic pricing based EV load management in distribution network”
    • Authors: Kong, W., Ye, H., Wei, N., Xing, D., Chen, W.
    • Year: 2022
    • Journal: Energy Reports
    • DOI: 10.1016/j.egyr.2022.02.187
    • Citations: 6

Akmalbek Abdusalomov | Computer Science | Best Researcher Award

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Assist Prof Dr. Akmalbek Abdusalomov | Computer Science | Best Researcher Award

Assistant Professor Computer Engineering Department of Gachon University, South Korea.

Dr. Abdusalomov Akmalbek Bobomirzaevich is an Assistant Professor at Gachon University, South Korea, with a specialization in computer vision and artificial intelligence. He holds a PhD in Computer Engineering from Gachon University, where his research focused on moving shadow detection using texture and geometry features. His work encompasses digital image processing, machine learning, and AI, with notable projects in moving object detection, virtual reality for blindness, and AI-based healthcare device development. Dr. Abdusalomov has published extensively, with a Google Scholar h-index of 23 and a Scopus h-index of 19. His academic and research contributions are complemented by his roles as a part-time instructor, postdoctoral researcher, and associate professor at Tashkent State University of Economics.

Professional Profiles:

Education

Abdusalomov Akmalbek Bobomirzaevich earned his Bachelor’s degree in Software Engineering from Tashkent University of Information Technology, Uzbekistan, with a GPA of 93%. His thesis focused on developing an online chemist application for Android. He then pursued a Master’s degree in IT Convergence Engineering at Gachon University, South Korea, achieving a GPA of 4.28 out of 4.50. His master’s thesis, under the guidance of Taeg Keun Whangbo, was on improving foreground recognition methods using shadow removal techniques. Continuing at Gachon University, Akmalbek completed his PhD in Computer Engineering, with a GPA of 4.17 out of 4.50. His doctoral research, also supervised by Taeg Keun Whangbo, explored moving shadow detection using texture and geometry features for indoor environments.

Professional Experience

Abdusalomov Akmalbek Bobomirzaevich has accumulated extensive experience in academia and industry. He began his career as an intern at Bulungur College of National Handicraft in 2013, followed by a role as an Assistant Engineer at Tashkent Electronic Research Center, where he handled billing systems and customer support. In 2015, he worked as an Administrator at Ipak Yuli Bank, focusing on network configuration and troubleshooting. From 2015 to 2017, he served as a Research Assistant at Gachon University’s Content Technologies Laboratory, where he managed lab devices and collaborated on projects. He then taught IT subjects as a Full-Time Instructor at Tashkent University of Information Technology. Akmalbek returned to Gachon University as a Researcher, later becoming a Postdoctoral Researcher in AI Engineering. Since 2022, he has been an Assistant Professor at Gachon University, focusing on deep learning and image processing, and an Associate Professor at Tashkent State University of Economics.

Research Interest

Abdusalomov Akmalbek’s research interests lie in the fields of digital image processing, computer vision, and artificial intelligence. His work primarily focuses on developing advanced techniques in machine and deep learning to enhance object detection and recognition. He has explored moving shadow detection using texture and geometry features for indoor environments, aiming to improve foreground recognition methods. His research also includes contributions to the development of smart technology for enhanced safety and accessibility, such as smart suits and virtual reality games for individuals with visual impairments. Akmalbek is dedicated to advancing the capabilities of AI and computer vision through innovative methodologies and practical applications.

Award and Honors

Abdusalomov Akmalbek has received several prestigious awards acknowledging his outstanding contributions to computer vision and artificial intelligence. He was honored with the Best Paper Award at the International Conference on Computer Vision and Pattern Recognition (CVPR) for his innovative research on moving object detection. Additionally, he earned the Outstanding Researcher Award from Gachon University for his significant advancements in deep learning models and image processing techniques. His work on virtual reality games for the visually impaired and the commercialization of mobile Braille pads garnered him the Innovative Research Award from the Commercialization Research Agency. Furthermore, Akmalbek was recognized with the Excellence in Teaching Award at Tashkent State University of Economics for his impactful instruction in artificial intelligence and related fields.

 Research Skills

Abdusalomov Akmalbek possesses a diverse set of research skills essential for advancing the fields of computer vision and artificial intelligence. He is proficient in digital image processing, machine and deep learning, and artificial intelligence. His expertise includes utilizing Python and C++ for programming, with a strong focus on OpenCV for computer vision tasks. Akmalbek has significant experience in moving object detection and foreground recognition, particularly in indoor environments. He excels in developing and applying deep learning models, including shadow removal techniques and texture and geometry-based feature detection. His skills extend to image stitching, virtual reality development, and medical big data analysis. Additionally, he has contributed to ICT element technology development and AI-based healthcare device development, showcasing his ability to work on complex, cutting-edge research projects.

Publications
  1. “An improvement of the fire detection and classification method using YOLOv3 for surveillance systems”
    • Authors: A Abdusalomov, N Baratov, A Kutlimuratov, TK Whangbo
    • Year: 2021
    • Citations: 87
  2. “Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning”
    • Authors: U Ayvaz, H Gürüler, F Khan, N Ahmed, T Whangbo, AA Bobomirzaevich
    • Year: 2022
    • Citations: 85
  3. “Automatic fire and smoke detection method for surveillance systems based on dilated CNNs”
    • Authors: Y Valikhujaev, A Abdusalomov, YI Cho
    • Year: 2020
    • Citations: 69
  4. “Brain tumor detection based on deep learning approaches and magnetic resonance imaging”
    • Authors: AB Abdusalomov, M Mukhiddinov, TK Whangbo
    • Year: 2023
    • Citations: 63
  5. “An improved forest fire detection method based on the detectron2 model and a deep learning approach”
    • Authors: AB Abdusalomov, BMDS Islam, R Nasimov, M Mukhiddinov, TK Whangbo
    • Year: 2023
    • Citations: 62
  6. “Automatic fire detection and notification system based on improved YOLOv4 for the blind and visually impaired”
    • Authors: M Mukhiddinov, AB Abdusalomov, J Cho
    • Year: 2022
    • Citations: 56
  7. “LDA-based topic modeling sentiment analysis using topic/document/sentence (TDS) model”
    • Authors: A Farkhod, A Abdusalomov, F Makhmudov, YI Cho
    • Year: 2021
    • Citations: 53
  8. “Improved real-time fire warning system based on advanced technologies for visually impaired people”
    • Authors: AB Abdusalomov, M Mukhiddinov, A Kutlimuratov, TK Whangbo
    • Year: 2022
    • Citations: 52
  9. “Attention 3D U-Net with Multiple Skip Connections for Segmentation of Brain Tumor Images”
    • Authors: J Nodirov, AB Abdusalomov, TK Whangbo
    • Year: 2022
    • Citations: 50