Mona Ebadi Jalal | Computer Science | Best Researcher Award

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Ms. Mona Ebadi Jalal | Computer Science | Best Researcher Award

University of Louisville | United States

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Early Academic Pursuits 🎓

Ms. Mona Ebadi Jalal's academic journey is marked by excellence and dedication. She is currently pursuing a PhD in Computer Science at the University of Louisville, where she maintains a perfect GPA of 4.00. Her research focuses on the cutting-edge fields of Machine Learning and Deep Learning, under the guidance of Professor Adel Elmaghraby. Prior to this, she earned a Master’s Degree in Information Technology Engineering from K. N. Toosi University of Technology (KNTU) in Tehran, Iran, where she graduated with an impressive GPA of 17.75/20. Her master’s thesis involved developing a novel deep learning model using recurrent neural networks to forecast incoming call volumes in call centers, a project that earned a perfect grade of 20/20. She also holds a Bachelor’s Degree in Computer Engineering - Software from Payame Noor University in Hamedan, Iran, where she developed a patient information management system for a hospital as part of her thesis.

Professional Endeavors 💼

Ms. Ebadi Jalal’s professional career is equally distinguished. She is currently a PhD Fellow and Research Assistant at the University of Louisville, where she conducts in-depth research in customer behavior analysis, medical image analysis, and diagnostics prediction, utilizing advanced Machine Learning and Deep Learning methods. Before pursuing her PhD, she worked as an IT Consultant specializing in SAP ABAP and Business Data Analysis at Naghshe Aval Keyfiat (NAK) and Faraz Andishan Hesab Companies in Tehran, Iran. During this period, she designed and implemented custom solutions within the SAP framework, conducted thorough analyses of business processes, and managed end-to-end project lifecycles. She has also served as a Software Developer, developing and maintaining web applications and managing relational databases.

Contributions and Research Focus 🔬

Ms. Ebadi Jalal’s contributions to the field of computer science are significant and diverse. Her research primarily focuses on the application of Machine Learning and Deep Learning to customer behavior analysis and medical diagnostics. She has developed predictive models for call center operations and contributed to the advancement of personalized marketing through counterfactual analysis. Her recent work includes a deep learning framework for abnormality detection in nailfold capillary images, which has the potential to revolutionize diagnostics in medical imaging.

Accolades and Recognition 🏅

Ms. Ebadi Jalal’s academic and professional achievements have been recognized with numerous awards and honors. She was awarded a prestigious fellowship for her PhD studies at the University of Louisville in 2022. During her time at K. N. Toosi University of Technology, she was nominated for the Superior Student Researcher honor in 2014. Additionally, she ranked in the top 1% in Iran’s nationwide graduate-level entrance exam in Information Technology Engineering in 2012 and received a national graduate-level full scholarship.

Impact and Influence 🌍

Ms. Ebadi Jalal’s work has had a profound impact on both academia and industry. Her research has led to new insights in customer behavior analysis and medical image diagnostics, influencing the development of more effective marketing strategies and diagnostic tools. As a peer reviewer for several prestigious journals, including IEEE Access and Scientific Reports, she contributes to the advancement of knowledge in her field by ensuring the quality and rigor of published research.

Legacy and Future Contributions 🌟

Ms. Ebadi Jalal is poised to leave a lasting legacy in the field of computer science. Her ongoing research in machine learning and deep learning holds the potential to drive significant advancements in both customer behavior analysis and medical diagnostics. With her strong academic background, extensive professional experience, and numerous accolades, she is well-positioned to continue making groundbreaking contributions to the field in the years to come. Her future work will likely influence the next generation of researchers and practitioners, further solidifying her impact on the world of technology.

Publications

📝 Artificial Intelligence Algorithms in Nailfold Capillaroscopy Image Analysis: A Systematic Review

Journal: MedRxiv
Year: 2024
Authors: Emam, Omar S.; Jalal, Mona Ebadi; Garcia-Zapirain, Begonya; Elmaghraby, Adel S.

📝 Analyzing the Dynamics of Customer Behavior: A New Perspective on Personalized Marketing through Counterfactual Analysis

Journal: Journal of Theoretical and Applied Electronic Commerce Research
Year: June 2024
Authors: Mona Ebadi Jalal; Adel Elmaghraby

📝 Forecasting Incoming Call Volumes in Call Centers with Recurrent Neural Networks

Journal: Journal of Business Research
Year: November 2016
Authors: Mona Ebadi Jalal; Monireh Hosseini; Stefan Karlsson

📝 Analysis of Customer Behavior in Purchasing and Sending Online Group SMS Using Data Mining Based on the RFM Model

Journal: Sharif Journal of Industrial Engineering & Management
Year: February 20, 2016
Authors: Mona Ebadi Jalal; Somayeh Alizadeh




Kalyanapu Srinivas | Computer Science | Best Researcher Award

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Dr. Kalyanapu Srinivas | Computer Science | Best Researcher Award

Vaagdevi Engineering College | India

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Early Academic Pursuits 🎓

Dr. Kalyanapu Srinivas embarked on his academic journey with a Bachelor of Technology (B.Tech) in Computer Science Engineering from Vidya Bharathi Institute of Technology, graduating in 2006 with First Division honors. He continued to advance his studies with a Master of Technology (M.Tech) in Software Engineering from Ramappa Engineering College in 2010, where he achieved Distinction with a 78.2% score. Further solidifying his academic prowess, Dr. Srinivas completed his Ph.D. in Cryptography & Network Security at JNTU, Hyderabad in 2020.

Professional Endeavors 💼

Dr. Srinivas has accumulated over 16 years of experience in academia. His professional journey includes roles such as Assistant Professor at various institutions, including Vaagdevi Engineering College, Kakatiya Institute of Technology and Science, and SR Engineering College. His tenure in these roles highlights his commitment to advancing the field of computer science and engineering. Notably, he has been involved in teaching, research, and academic administration.

Contributions and Research Focus 🔬

Dr. Srinivas’s research primarily focuses on Cryptography and Network Security, with a keen interest in Data Mining, Cloud Computing, and Quantum Computing. His Ph.D. thesis, titled "Novel Techniques for Image-Based Key Generation using Chinese Remainder Theorem and Chaotic Logistic Maps," reflects his innovative approach to enhancing security protocols. Additionally, his ongoing research guidance includes supervising several Ph.D. students in areas such as Wireless Networks and Cloud Computing.

Accolades and Recognition 🏆

Dr. Srinivas has earned significant recognition throughout his career. His work in machine learning and cryptography has led to the publication of a patent on Alzheimer's prediction using machine learning. He has also been honored as a session chair at the International Conference on Research in Science, Engineering, Technology, and Management (ICRSETM2020) and served as a guest speaker at SAFER INTERNET DAY 2023. His expertise has been acknowledged through editorial and review roles for various conferences and journals.

Impact and Influence 🌍

Dr. Srinivas’s contributions extend beyond his research. His involvement in organizing and participating in short-term training programs (STTP) on IoT simulation and fog computing showcases his dedication to fostering knowledge and innovation in emerging technologies. His role as a primary evaluator for TOYCATHON 2021 further emphasizes his influence in shaping the future of technology education and development.

Legacy and Future Contributions 🚀

Looking ahead, Dr. Srinivas is poised to continue making impactful contributions to the fields of cryptography and network security. His research initiatives and academic leadership are expected to drive advancements in secure computing and innovative technologies. As he mentors the next generation of researchers and contributes to cutting-edge research, his legacy in the academic and professional realms will undoubtedly endure, inspiring future advancements in technology and education.

 

Publications 📚

  • Article: Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
    Authors: Stateczny, A., Narahari, S.C., Vurubindi, P., Guptha, N.S., Srinivas, K.
    Journal: Remote Sensing
    Year: 2023
  • Article: User-segregation based channel estimation in the MIMO system
    Authors: Patra, R.K., Kumar, M.H., Srinivas, K., Sekhar, P.C., Subhashini, S.J.
    Journal: Physical Communication
    Year: 2023
  • Book Chapter: An Enhancement in Crypto Key Generation Using Image Features with CRT
    Authors: Srinivas, K., Kumar, N.S., Sanathkumar, T., Rama Devi, K.
    Book: Cognitive Science and Technology
    Year: 2023
  • Article: Plant disease classification using deep bilinear CNN
    Authors: Rao, D.S., Ramesh Babu, C., Kiran, V.S., Mohan, G.S., Bharadwaj, B.L.
    Journal: Intelligent Automation and Soft Computing
    Year: 2022
  • Article: Symmetric key generation algorithm using image-based chaos logistic maps
    Authors: Srinivas, K., Janaki, V.
    Journal: International Journal of Advanced Intelligence Paradigms 🧠
    Year: 2021

 

Sachin Yele | Engineering | Best Researcher Award

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Mr. Sachin Yele | Engineering | Best Researcher Award

Medi-Caps University | India

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Early Academic Pursuits

Mr. Sachin Yele's academic journey began with a strong foundation in Information Technology. He completed his Bachelor of Engineering (B.E.) in Information Technology from Jawaharlal Institute of Technology, Borawan, India, in 2006, securing an impressive 73.71%. Building on this foundation, he pursued a Master of Technology (M.Tech.) in Computer Science & Engineering from Sri Satya Sai Institute of Science & Technology, Sehore, under Rajiv Gandhi Prodhyogiki Viswavidhyalaya, Bhopal, India, graduating in 2012 with a commendable 71.7%.

Professional Endeavors

Mr. Yele's professional journey spans over 13 years in academia, beginning as a Lecturer in the Department of Computer Science and Engineering at Jawaharlal Institute of Technology, Borawan, in July 2006. His dedication and expertise soon led him to the role of Assistant Professor (Head) at the Department of Computer Science and Engineering, Sanghvi Institute of Science & Management, Indore, India, where he served from July 2011 to April 2017. Currently, he holds the position of Assistant Professor in the Department of Information Technology at Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, since May 2017.

Contributions and Research Focus

Mr. Yele has made significant contributions to the field of Computer Science, particularly in Data Mining, Web Mining, Web Content Mining, and Wireless Sensor Networks. His research has been presented and published in various international journals and conferences in India and abroad. His teaching interests include Software Engineering, Computer Networking, Data Mining, Network Management, Network Security, and Wireless Sensor Networks. He has attended workshops to stay abreast of recent trends, notably a one-week STTP on "Recent Trends in Artificial Intelligence" in November 2008 at Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, Maharashtra.

Accolades and Recognition

Mr. Yele's dedication to research and teaching has been recognized through his numerous published works. He has authored seven papers in international journals, one paper in an international conference, and six papers in national conferences. His role as an educator has also been marked by his administrative capabilities, such as conducting B.E. training programs, practical examinations, project guidance for B.E. students, and thesis guidance for M.Tech. students.

Impact and Influence

Mr. Yele's impact on the academic community is evident through his extensive teaching and research activities. His work in Data Mining and Wireless Sensor Networks has contributed to the advancement of these fields. As an educator, he has mentored numerous students, helping them achieve their academic and professional goals. His administrative roles have furthered the development of robust academic programs and research initiatives.

Legacy and Future Contributions

Mr. Yele's legacy in the field of Computer Science is built on his commitment to education and research. His future contributions are likely to continue influencing the realms of Data Mining and Wireless Sensor Networks. His ongoing role at Shri Vaishnav Vidyapeeth Vishwavidyalaya provides a platform for him to nurture future generations of engineers and researchers, ensuring the continued advancement of technology and innovation.

 

Notable Publications

Blockchain-based secure dining: Enhancing safety, transparency, and traceability in food consumption environment 2024 (2)

 

 

 

Moparthi Nageswara Rao | Engineering | Best Researcher Award

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Dr. Moparthi Nageswara Rao | Engineering | Best Researcher Award

KL University | India

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Early Academic Pursuits

Dr. Moparthi Nageswara Rao embarked on his academic journey with a strong foundation in computer science. He holds a B.Sc. in Computer Science from Acharya Nagarjuna University, India, followed by an M.Sc. in Computer Science from Bharatidasan University, India. Further enhancing his expertise, he pursued an M.Tech. in Computer Science & Engineering from Acharya Nagarjuna University, India. Dr. Rao culminated his formal education with a Ph.D. in Computer Science & Technology from Sri Krishnadevaraya University, India, specializing in Machine Learning, Software Engineering, and Data Mining.

Professional Endeavors

Currently serving as a Professor and Deputy Head of the Department in Computer Science and Engineering at KL University, India, Dr. Moparthi Nageswara Rao boasts over 22 years of experience in both the IT industry and academia. His professional journey includes significant roles such as Project Lead in the IT industry, where he developed innovative applications and software solutions for prominent companies including Birlasoft India (P) Ltd, IBM India Pvt. Ltd, Mphasis An HP Company, and Info Plus Technologies, USA. In academia, he has held positions at Velagapudi Ramakrishna Siddhartha Engineering College and KL University, where he has been instrumental in research, teaching, and mentoring students in various computer science disciplines.

Contributions and Research Focus

Dr. Rao's research and contributions span across several key areas in computer science, including data mining and machine learning, where he has developed models and techniques for efficient data processing and analysis; software engineering, advancing methodologies and practices in software development; and the Internet of Things (IoT), exploring the integration of IoT technologies in various applications. Additionally, he has played a pivotal role in curriculum development, designing and implementing innovative educational techniques and strategies. His research has been widely recognized, with numerous articles published in top-tier academic journals, including those indexed in SCI and Scopus.

Accolades and Recognition

Dr. Rao's excellence in research and teaching has been recognized through numerous awards and honors, including the Best Teacher Award (2018), Award of Excellence in Research (2020) by Novel Research Academy, and Outstanding Reviewer Awards from Inderscience, Springer, and Elsevier. Additionally, he received the One Team One Dream Award from IBM India, Spot Award from Mphasis, and Best Performer of the Month Award from Sony India. Dr. Rao has authored 43 publications, including 14 SCI-indexed and 20 Scopus-indexed articles, published two books, and holds three patents, one of which has been granted. His contributions to industrial projects include leading funded initiatives such as augmented reality applications for real estate and systems for diagnosing diabetic retinopathy.

Impact and Influence

Dr. Rao has made a substantial impact in both the academic and industrial sectors through his dedicated efforts in student mentoring and development, guiding numerous Ph.D., M.Tech., and B.Tech. students in their academic and research pursuits. He has fostered industry collaboration, developing practical applications and solutions, such as augmented reality applications and medical diagnostic systems. Additionally, Dr. Rao has significantly contributed to academic quality and standards by actively participating in accreditation and certification duties, ensuring the institutions he is affiliated with maintain high standards of education and research.

Legacy and Future Contributions

Dr. Rao's legacy in the field of computer science is marked by his commitment to education, research, and innovation. His future contributions are anticipated to further advance the integration of technology in education and industry. With a focus on cutting-edge technologies such as AI, ML, and IoT, he is poised to continue influencing the next generation of computer scientists and engineers.

 

Notable Publications

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems 2024 (3)

Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data 2024 (3)

Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture 2024

An Efficient Aspect-based Sentiment Classification with Hybrid Word Embeddings and CNN Framework 2024

Dual Interactive Wasserstein Generative Adversarial Network optimized with arithmetic optimization algorithm-based job scheduling in cloud-based IoT 2023 (1)

 

Ruichao Yang | Computer Science | Best Researcher Award

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Ms. Ruichao Yang | Computer Science | Best Researcher Award

Hong Kong Baptist University | Hong Kong

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Early Academic Pursuits

Ruichao Yang commenced their academic journey at Jilin University, where they systematically delved into computer science courses and participated in various competitions. Notably, they secured the third prize in the 5th "Certification Cup" National College Students Mathematical Modeling Network Challenge. Their undergraduate experience laid a robust foundation in data structure, algorithm design, and analytical skills, setting the stage for their future endeavors.

Professional Endeavors

Ruichao Yang's professional journey commenced with internships and later full-time roles at Microsoft China, where they showcased their prowess in software engineering and natural language processing. They contributed significantly to projects aimed at enhancing online keyword matching systems, filtering advertisements, and improving revenue through innovative approaches. Their expertise in programming languages, data structures, and algorithms proved instrumental in restructuring and optimizing advertising business systems.

Contributions and Research Focus

Ruichao Yang's academic background, coupled with their industry experience, fueled their research focus on improving the efficiency of computing systems, particularly cache optimization and deep learning network acceleration. Their contributions to building domain knowledge graphs and anomaly detection models underscore their commitment to advancing technology's practical applications, particularly in the realm of advertising and revenue optimization.

Accolades and Recognition

Throughout their academic and professional journey, Ruichao Yang garnered numerous accolades and awards, including academic scholarships, merit distinctions, and recognition for their leadership and volunteerism. Their consistent pursuit of excellence and dedication to their field have been acknowledged both within academia and the industry.

Impact and Influence

Ruichao Yang's work at Microsoft China and academic research endeavors have left a significant impact on the domains of software engineering and computer science. Their innovative approaches to problem-solving and contributions to optimizing advertising systems have not only enhanced user experiences but also contributed to revenue growth and operational efficiency.

Legacy and Future Contributions

As Ruichao Yang continues to navigate their career path, their legacy lies in their contributions to advancing technology's frontiers, particularly in software engineering, natural language processing, and computational optimization. Their future contributions are poised to further propel innovation, shape industry standards, and inspire the next generation of computer scientists and engineers.

Notable Publications

  • CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy 2024
  • Towards low-resource rumor detection: Unified contrastive transfer with propagation structure 2024

  • Reinforcement Subgraph Reasoning for Fake News Detection 2022 (29)

    A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning 2022 (20)

    Towards Fine-Grained Reasoning for Fake News Detection 2022 (35)

 

 

 

Jingjing Cao | Computer Science | Best Researcher Award

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Dr. Jingjing Cao | Computer Science | Best Researcher Award

School of Transportation and Logistics Engineering | China

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Early Academic Pursuits

Dr. Jingjing Cao's academic journey commenced with a Bachelor of Engineering in Information and Computing Science from Dalian Maritime University. Subsequently, she pursued a Master of Science in Applied Mathematics before earning her Ph.D. from the Department of Computer Science at City University of Hong Kong.

Professional Endeavors

Dr. Cao's professional journey has been marked by significant contributions. She served as a Research Associate at Dalian Maritime University and later assumed roles as Assistant Professor and now Tenure Track Associate Professor at Wuhan University of Technology.

Contributions and Research Focus

With a focus on Machine Learning and its applications in transportation and logistics, Dr. Cao has made remarkable contributions. Her research spans various domains, including ensemble learning, deep learning, and optimization algorithms, as evidenced by her prolific publication record in reputable journals and conferences.

Accolades and Recognition

Dr. Cao's impactful research has garnered widespread recognition, exemplified by her receipt of the prestigious Best Researcher Award. Her publications in renowned journals and conferences underscore her standing as a leading figure in the field of Computer Science and Machine Learning.

Impact and Influence

Dr. Cao's work has left a lasting impact on the academic community and industry alike. Her research has not only advanced the theoretical understanding of Machine Learning but has also found practical applications in domains such as transportation, logistics, and industrial informatics.

Legacy and Future Contributions

As Dr. Cao continues her academic journey, her legacy is defined by a commitment to excellence in research and education. With ongoing projects and professional services, she remains dedicated to shaping the future of Computer Science and Machine Learning, leaving an indelible mark on the field.

Notable Publication

FE-Net: Feature enhancement segmentation network 2024

Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm 2022 (24)

A two-stage model for forecasting consumers’ intention to purchase with e-coupons 2021 (15)

RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment 2021 (14)

Adaptive sliding window based activity recognition for assisted livings 2020 (62)

 

 

 

 

 

Hai Tang | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

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Dr. Hai Tang | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Sun Yat-sen University | China

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Early Academic Pursuits

Dr. Hai Tang commenced his academic journey with a Bachelor's degree in Pharmacy and molecular biology, followed by a Master's degree in bioinformatics and molecular biology. These foundational studies laid the groundwork for his subsequent endeavors in academia and research.

Professional Endeavors

After completing his master's degree, Dr. Tang embarked on teaching and research roles at Guangdong Jiangmen Chinese Medicine College and the Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan. Here, he delved into bioinformatics and molecular biology, honing his expertise and contributing to academic and scientific communities.

Contributions and Research Focus

Dr. Tang's primary research revolves around machine learning, bioinformatics, and molecular biology, particularly in the realms of preeclampsia, Alzheimer's disease, and cancers. He focuses on identifying novel biomarkers to enhance early diagnosis and treatment strategies for these diseases. His contributions include participation in various research projects funded by prestigious institutions and the publication of several SCI papers.

Accolades and Recognition

Dr. Tang's notable achievements include publications in esteemed journals like Computers in Biology and Medicine. He has been involved in impactful research initiatives, demonstrating his ability to translate conceptual ideas into tangible outcomes.

Impact and Influence

Through his dedication to advancing machine learning, bioinformatics, and molecular biology, Dr. Tang has made significant contributions to his field. His research outcomes have the potential to influence clinical practice and contribute to advancements in medical diagnostics and treatments.

Legacy and Future Contributions

Dr. Tang's commitment to staying abreast of the latest advancements and his active engagement in academic and industry communities position him as a driving force in future research endeavors. His legacy lies in his contributions to cutting-edge research and the practical application of his findings in real-world medical and biological contexts

Notable Publications

Lysosome-related biomarkers in preeclampsia and cancer: Machine learning and bioinformatics analysis 2024

Role of breastfeeding on maternal and childhood cancers: An umbrella review of meta-analyses 2023 (2)

Lycopene protects neuroblastoma cells against oxidative damage via depression of ER stress 2020 (9)

Lycopene alleviates oxidative stress via the PI3K/Akt/Nrf2pathway in a cell model of Alzheimer’s disease 2020 (23)

Studies on APP metabolism related to age-associated mitochondrial dysfunction in APP/PS1 transgenic mce 2019 (19)