SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

Dr. SAMANTH KOKKILIGADDA | Energy and Catalysis | Best Researcher Award

Postdoctoral Researcher, Sungkyunkwan University, South Korea

Dr. Samanth Kokkiligadda is a research professor in Chemical Engineering at Sungkyunkwan University, South Korea, specializing in sustainable energy solutions. With a Ph.D. in Physics, his expertise spans nanomaterials, energy storage, and biomass conversion. His work integrates biopolymers and flexible films to advance eco-friendly supercapacitors and photocurrent applications. Dr. Kokkiligadda has received prestigious awards, including the SKKU Innovation Research Fellowship and a gold medal in Chemistry. Proficient in nanomaterials functionalization, quantum dots, and electrochemical techniques, he contributes significantly to material synthesis and energy conversion research.

Profile

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๐ŸŽ“ Education

Ph.D. in Physics (2019โ€“2023), Sungkyunkwan University, South Korea ๐Ÿ… Dissertation: “Nanomaterial-embedded DNA Nanostructures for Photocurrent and Supercapacitors.” Awarded the Best SKKU Innovative Research Award. M.Sc. in Physics (2016โ€“2018), P.B. Siddhartha College of Arts & Sciences, India ๐ŸŽ“ Specialization in Condensed Matter Physics with an 80% aggregate score. B.Sc. in M.P.C. (2013โ€“2016), Krishna University, India ๐Ÿ† Graduated with 91.3%, earning a gold medal in Chemistry.

๐Ÿ’ผ Experience

BK21+ Postdoctoral Researcher, Sungkyunkwan University, South Korea (Present) ๐Ÿ”ฌ Researching DNA-based nanostructures for photocurrent and supercapacitor applications. Developing high-performance biopolymer-based energy storage devices. Graduate Researcher, Sungkyunkwan University, South Korea (2019โ€“2023) ๐Ÿงช Conducted extensive studies on functional nanomaterials, quantum dots, and MXenes. Specialized in electrode synthesis for energy storage applications.

๐Ÿ† Awards & Honorsย 

SKKU Innovation Research Fellowship (BK21), 2022 ๐ŸŒŸ All India 14th Rank, UGC Merit Scholarship, 2016-17 ๐Ÿ…Pratibha Award & Gold Medal in Chemistry, Krishna University, 2016 ๐Ÿ† KU-SET 17th Rank, Andhra Pradesh University Entrance Test ๐ŸŽ– 2nd Prize in Photography, Cognition Nalanda University, 2018 ๐Ÿ“ธ 1st Prize in Quiz, Andhra Pradesh Librarian Association, Avanigadda ๐Ÿ…

๐Ÿ”ฌ Research Focusย 

Dr. Kokkiligaddaโ€™s research focuses on nanomaterials for energy storage and conversion. His work integrates DNA-based nanostructures, biopolymer synthesis, and flexible energy storage films. He explores quantum dots, MXenes, and hybrid biomaterials to develop high-performance, eco-friendly supercapacitors and photocurrent devices. His expertise spans scanning electron microscopy, spectroscopy techniques, thermal vapor deposition, and electrode fabrication for batteries and PEC applications.

Publications

“Nanomaterial-embedded DNA Nanostructures for Photocurrent and Supercapacitors” ๐Ÿ”‹

“Synthesis of Biomass-based Hybrid Nanomaterials for Sustainable Energy Conversion” ๐ŸŒฑ

“Functionalization of Quantum Dots for High-Performance Energy Devices” โšก

“MXenes in Flexible Supercapacitors: A Novel Approach” ๐Ÿญ

“Electrode Fabrication Techniques for Advanced Energy Storage” โš™๏ธ

“Innovative DNA Nanostructures for Photovoltaic Applications”

Conclusion:

Samanth Kokkiligadda is a highly deserving candidate for the Best Researcher Award due to his exceptional contributions to nanomaterials, energy storage, and sustainable innovations. With his expertise and growing recognition, he has the potential to become a key figure in the future of green energy research. Strengthening collaborations and increasing high-impact publications will further solidify his standing as a top-tier researcher.

Manar Hamza | Computer Science Data mining | Best Researcher Award

Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award

professor atย  Prince Sattam bin Abd El Aziz University, China

๐Ÿ‘ฉโ€๐Ÿซ Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. ๐Ÿ’ป Holds a strong track record in research and academia, leveraging innovation and teamwork. Aims to thrive in challenging, dynamic, and team-oriented environments that foster growth. ๐ŸŒ Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.

Professional Profiles:

scopus

Education ๐ŸŽ“

Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018โ€“2021). ๐ŸŽ“ Masterโ€™s Degree in Computer Science from Sudan University of Science and Technology (2003โ€“2005). ๐ŸŽ“ B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995โ€“1999). ๐Ÿ“š Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.

Experience ๐Ÿ–ฅ๏ธ

Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013โ€“present). ๐Ÿ‘ฉโ€๐Ÿ’ผ Supervisor and Coordinator roles in quality, academic advising, and measurement (2014โ€“2020). ๐Ÿ‡ธ๐Ÿ‡ฉ Lecturer at Omdurman Islamic University, Sudan (2005โ€“2012). ๐Ÿ‘ฉโ€๐Ÿ”ฌ E-teaching and training specialist with Arab Board experience (2023).

Awards and Honors ๐Ÿ†

Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. ๐Ÿ™Œ Recognized for voluntary services, including extracurricular activities and technical support for students and staff. โญ Esteemed arbitrator in scientific and innovation conferences. ๐Ÿ“œ Active contributor to enhancing the learning environment with innovative solutions.

Research Focus ๐Ÿ”

Data mining, text mining, and information security are core research areas. ๐Ÿ“Š Interested in qualitative research, outcome-based education, and e-learning systems. ๐ŸŒ Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. ๐Ÿ›ก๏ธ Exploring cybersecurity methods and their application in education and industry.

โœ๏ธPublications Top Note :

1. Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

Published in: SN Computer Science, 2024, 5(5), 549

Summary: This paper proposes a novel classification model for urban-related tweets using arithmetic optimization integrated with deep learning to support sustainable urban living solutions.

2. Enhancing Traffic Flow Prediction in Intelligent Cyber-Physical Systems

Published in: IEEE Transactions on Consumer Electronics, 2024, 70(1), pp. 1889โ€“1902

Summary: Introduces a Bi-LSTM approach enhanced with a Kalman filter for accurate traffic flow prediction, addressing challenges in intelligent cyber-physical systems.

Citations: 5

3. Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification

Published in: Mobile Networks and Applications, 2024, 29(1), pp. 176โ€“186

Summary: Utilizes the Deer Hunting Optimization algorithm with deep learning to achieve high accuracy in detecting and classifying fabric defects.

Citations: 1

4. Automatic Recognition of Cyberbullying in the Web of Things and Social Media Using Deep Learning Framework

Published in: IEEE Transactions on Big Data, 2024

Summary: Develops a deep learning-based framework to detect and prevent cyberbullying within social media and IoT environments.

5. Artificial Rabbit Optimizer with Deep Learning for Fall Detection in IoT Environment

Published in: AIMS Mathematics, 2024, 9(6), pp. 15486โ€“15504

Summary: Introduces the Artificial Rabbit Optimizer combined with deep learning to enhance fall detection systems for disabled individuals in IoT environments.

Citations: 1

6. Computational Linguistics-Based Arabic Poem Classification and Dictarization Model

Published in: Computer Systems Science and Engineering, 2024, 48(1), pp. 98โ€“114

Summary: Proposes a computational linguistics model to classify Arabic poems and enhance their dictarization process.

7. Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

Published in: Intelligent Automation and Soft Computing, 2024, 38(2), pp. 153โ€“168

Summary: Develops a deep neural network with hyperparameter tuning for effective abstractive summarization of Arabic texts.

Citations: 1

8. Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in IoT Environment

Published in: IEEE Access, 2024, 12, pp. 258โ€“267

Summary: Presents a Chaotic Equilibrium Optimizer combined with deep learning to improve green communication and load prediction in IoT systems.

Citations: 2

9. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images

Published in: IEEE Access, 2024, 12, pp. 11147โ€“11156

Summary: Leverages the River Formation Dynamics algorithm integrated with deep learning for efficient land use and land cover classification using remote sensing data.

Citations: 4

10. Prediction of Sleep Quality Using Wearable-Assisted Smart Health Monitoring Systems

Published in: Journal of King Saud University – Science, 2023, 35(9), 102927

Summary: Utilizes wearable technology and statistical data to predict sleep quality, providing insights into personalized smart health monitoring systems.

Citations: 1

Conclusion

The candidateโ€™s extensive experience, academic qualifications, and contributions to computer science, particularly in data mining and information security, make them a strong contender for the Research for Best Researcher Award. With some strategic enhancements to highlight impactful research and global contributions, their profile could exemplify the qualities of an award-winning researcher in computer science.

Garima Mathur | Functionalization of biomaterials | Women Researcher Award

Mr. Garima Mathur | Functionalization of biomaterials | Women Researcher Award

Mr. Jaypee Institute of Technology, India

Mr. Garima Mathur holds a Ph.D. from the Indian Institute of Technology Roorkee (2008), an M.Sc. in Biotechnology from Panjab University, Chandigarh (2002), and a B.Sc. in Biotechnology from Kurukshetra University (2000). Currently, she is an Assistant Professor (Senior grade) at the Department of Biotechnology, Jaypee Institute ofย  Technology, Noida. Her professional journey includes roles as Assistant Professor (Gr-II and Gr-I), Research Associate, and Postdoctoral Fellow in prestigious institutions. She has worked as a Scientist in Application R&D at Novozymes South Asia Pvt. Ltd. Bangalore. Dr. [Your Name] is a recipient of several awards, including a GATE Life Science score of 97.79 percentile and a CSIR-UGC JRF, among others.

Professional Profiles:

Scopus

๐ŸŽ“ Academic Qualifications

2008: PhD, Indian Institute of Technology Roorkee (India)
2002: M.Sc. (Biotechnology), Panjab University, Chandigarh
2000: B.Sc. (Biotechnology), Kurukshetra University

๐Ÿ‘จโ€๐Ÿซ Professional Experienceย 

Assistant Professor (Senior grade), Department of Biotechnology, Jaypee Institute of Technology, Noida. September 2018 onwards
Assistant Professor (Gr-II), Department of Biotechnology, Jaypee Institute of Technology, Noida. Jan 1, 2016 – September 2018
Assistant Professor (Gr-I), Department of Biotechnology, Jaypee Institute of Technology, Noida. Aug 1, 2013 – Dec 31, 2015
Research Associate, Department of Biotechnology, Jaypee Institute ofย  Technology, Noida. Dec 21, 2010 – Aug 1, 2013
Post Doctoral Fellow, Department of Biotechnology and Bioinformatics, Jaypee University of Technology, Waknaghat. Feb 9, 2010 – Dec 14, 2010
Scientist in Application R&D, Novozymes South Asia Pvt. Ltd., Bangalore. Dec 2009 – June 2009
Research Associate, Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi (INDIA) on a DBT-funded project. Dec 2007 – April 2008

๐Ÿ† Awards and Honors

GATE in Life Science (2002): Score 97.79 percentile (All India rank 53)
CSIR-UGC (NET) JRF in Life Science (June 2003)
Agricultural Scientists Recruitment Board National Eligibility Test (2003)
Women Scientist Scholarship Scheme (2003), TIFAC, DST, New Delhi
Gold Medal in M.Sc. (Biotechnology) from Panjab University, Chandigarh
Travel Grant Support by Dept. of Science and Technology, Govt of India for oral presentation at BIOMICROWORLD 2013, Madrid, Spain. October 2-4, 2013

โœ๏ธPublications Top Note :

Production and Characterization of Bacterial Cellulose Synthesized by Komagataeibacter sp. Isolated from Rotten Coconut Pulp

Authors: Srivastava, S., Mathur, G.
Journal: Asian Journal of Chemistry
Year: 2024
Volume: 36
Issue: 5
Pages: 1183โ€“1190
Type: Open access
Citations: 0
Abstract: This link is disabled.
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Current Trends in Chitosan Functionalization Methods and Their Applications

Authors: Pandey, R., Mathur, G.
Journal: Starch/Staerke
Year: 2024
Type: Review, Article in Press
Citations: 0
Abstract: This link is disabled.
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Statistical Optimization of Bioprocess Parameters for Enhanced Production of Bacterial Cellulose from K. saccharivorans BC-G1

Authors: Srivastava, S., Mathur, G.
Journal: Brazilian Journal of Microbiology
Year: 2024
Type: Article in Press
Citations: 0
Abstract: This link is disabled.
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Biopolymer-Based Biosensors: Fabrication and Properties

Authors: Pandey, R., Mathur, G.
Book: Springer Proceedings in Materials
Year: 2024
Volume: 37
Pages: 89โ€“98
Type: Book Chapter
Citations: 0
Abstract: This link is disabled.
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Bacterial Cellulose: A Multipurpose Biomaterial for Manmade World

Authors: Srivastava, S., Mathur, G.
Journal: Current Applied Science and Technology
Year: 2023
Volume: 23
Issue: 3
Type: Open access, Review
Citations: 1
Abstract: This link is disabled.
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Komagataeibacter saccharivorans Strain BC-G1: An Alternative Strain for Production of Bacterial Cellulose

Authors: Srivastava, S., Mathur, G.
Journal: Biologia
Year: 2022
Volume: 77
Issue: 12
Pages: 3657โ€“3668
Citations: 4
Abstract: This link is disabled.
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Effect of Different Media on Growth Kinetics Parameters of Aspergillus ochraceus: An Approach Towards Production of Fungal Biomass

Authors: Rahman, R.U., Mathur, G.
Journal: Current Trends in Biotechnology and Pharmacy
Year: 2021
Volume: 15
Issue: 6
Pages: 1โ€“3
Citations: 1
Abstract: This link is disabled.
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Current Research and Perspectives on Microalgae-Derived Biodiesel

Authors: Singh, K., Kaloni, D., Gaur, S., Kushwaha, S., Mathur, G.
Journal: Biofuels
Year: 2020
Volume: 11
Issue: 1
Pages: 1โ€“18
Citations: 19
Abstract: This link is disabled.
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Evaluating the Therapeutic Efficiency and Drug Targeting Ability of Alkaloids Present in Rauwolfia serpentina

Authors: Singh, M., Kaur, R., Rajput, R., Mathur, G.
Journal: International Journal of Green Pharmacy
Year: 2017
Volume: 11
Issue: 3
Pages: 132โ€“142
Citations: 18
Abstract: This link is disabled.
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Effect of Carbon Sources on Physicochemical Properties of Bacterial Cellulose Produced from Gluconacetobacter xylinus MTCC 7795

Authors: Singh, R., Mathur, A., Goswami, N., Mathur, G.
Journal: E-Polymers
Year: 2016
Volume: 16
Issue: 4
Pages: 331โ€“336
Citations: 10
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