Khyati Bhupta | Medicinal Chemistry | Best Researcher Award

Posted on 10/09/202410/09/2024 by ScienceFather

Mrs. Khyati Bhupta | Medicinal Chemistry | Best Researcher Award

Assistant Professor at Dr Subhash University, India

Khyati Bhupta is a highly motivated and accomplished professor specializing in the field of pharmacy. She is dedicated to both teaching and research, with a passion for fostering student development using modern teaching methods and advanced pedagogy. Her work is defined by her dedication to innovation and academic excellence. Her experience and skills, particularly in the pharmaceutical sector, make her a valuable contributor to both academia and the industry.

Professional profile

ORCID Profile.

Education 📚

Khyati holds a PhD in Pharmacy, which she earned in May 2013 from Dr. Subhash University, Gujarat. Prior to her PhD, she completed her Master’s in Pharmacy with a specialization in Quality Assurance from Gujarat Technological University in 2009, and her Bachelor’s in Pharmacy from Sardar Patel University in 2007. Her academic journey reflects a consistent focus on pharmaceutical sciences, with an emphasis on quality and research.

Professional Experience🎓

Over the years, Khyati has built extensive experience as a professor in pharmacy, contributing significantly to both teaching and research. She is skilled in handling pharmaceutical instruments and software, which has been vital in her research and practical work. Her expertise in communication and documentation further enhances her teaching capabilities, making her an effective educator who fosters learning through modern approaches and methodologies.

Research Interest🎓

Khyati’s research primarily focuses on pharmaceutical sciences, with significant work on benzothiazole derivatives, exploring their potential as antidiabetic and antiviral agents. She has published multiple papers on these topics in renowned journals such as MDPI and the Annals of the Romanian Society for Cell Biology. Her work also involves method development for pharmaceutical analysis, including titrimetric methods and RP-HPLC method development for drug estimation, reflecting her deep engagement in pharmaceutical research and innovation.

Awards and Honors 🏆

Khyati has received several recognitions for her contributions to research. In August 2022, she was granted a patent from the Government of India, demonstrating her innovative contributions to pharmaceutical science. Additionally, she received a grant from the SSIP (Student Startup and Innovation Policy) under the Gujarat Government in October 2023 for her work on a startup project, highlighting her potential in translating research into practical applications.

Publications top noted📜

BENZOTHIAZOLE: AS AN ANTIDIABETIC AGENT
- Authors: Khyati Bhupta
- Journal: Annals of the Romanian Society for Cell Biology
- Year: 2021
- Citations: N/A 📊💊
BENZOTHIAZOLE MOIETY AND ITS DERIVATIVES AS ANTIVIRAL AGENTS
- Authors: Khyati Bhupta
- Journal: MDPI
- Year: 2021
- Citations: N/A 🦠🔬
Biological Screening and Structure Activity Relationship of Benzothiazole
- Authors: Khyati Bhupta
- Journal: Research Journal of Pharmacy and Technology
- Year: 2022
- Citations: N/A 🧪📈
Development of Titrimetric Method for Estimation of Furosemide Tablets by Using Mixed Co-Solvency Process
- Authors: Khyati Bhupta
- Journal: International Journal of Biology, Pharmacy and Allied Sciences
- Year: 2022
- Citations: N/A ⚖️💊
RP-HPLC Method Development and Validation for Simultaneous Estimation of Ranitidine Hydrochloride and Domperidone in Combination
- Authors: Khyati Bhupta
- Journal: International Journal of Pharmacy, Biology and Allied Science
- Year: 2023
- Citations: N/A 📊🔬

Prof Dr. Mehlika Dilek Altıntop | Medicinal Chemistry | Women Researcher Award

Posted on 23/07/202424/07/2024 by ScienceFather

Prof Dr. Mehlika Dilek Altıntop | Medicinal Chemistry | Women Researcher Award

Prof Dr. Anadolu University, Turkey

Dr. Mehlika Dilek Altıntop is a prominent Professor in Pharmaceutical Chemistry at Anadolu University. Her academic journey includes a Bachelor’s from Anadolu University, followed by a Master’s and Ph.D. in Pharmaceutical Chemistry from the same institution. She has served in various academic roles, including Research Assistant, Assistant Professor, and currently as a Professor. Her administrative roles include serving as Associate Director and Quality Coordinator at Anadolu University. Dr. Altıntop has received numerous awards for her research, including the Outstanding Woman Researcher Award and multiple Article Performance Awards. She is actively involved in editorial and guest editing roles in prestigious scientific journals and has supervised numerous master’s and doctoral dissertations in her field.

Professional profile

Scopus

Education 📚

Primary School: İkieylül Elementary School (1991-1996)Secondary School – High School: Eskişehir Anatolian High School (1996-2003)Undergraduate: Anadolu University, Faculty of Pharmacy (2003-2007)Master’s Degree (with Thesis): Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (2007-2009)Doctoral Degree: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (2009-2012)Languages: English (Excellent)

Academic Titles 🎓

Research Assistant: Anadolu University, Faculty of Pharmacy (2010-2012)Research Assistant Doctor: Anadolu University, Faculty of Pharmacy (2012-2014)Assistant Professor Doctor: Anadolu University, Faculty of Pharmacy (2014-2015)Associate Professor Doctor: Anadolu University, Faculty of Pharmacy (2015-2020)Professor Doctor: Anadolu University, Faculty of Pharmacy (2020-Present)Administrative Roles 🏛️Erasmus/Farabi/Mevlana Assistant Coordinator: Anadolu University Faculty of Pharmacy (2013-2014)Associate Director: Anadolu University Graduate School of Health Sciences (2014-2017, 2023)Quality Coordinator: Anadolu University Graduate School of Health Sciences (2022-2023)

Awards and Honors 🏆

Anadolu University Faculty of Pharmacy Championship Award (2007)The Scientific and Technological Research Council of Turkey Graduate Scholarship (2007-2009)Anadolu University Science and Technology Encouragement Award (2014)Anadolu University Gold & Platinum Article Performance Awards (2015)Outstanding Reviewer, European Journal of Medicinal Chemistry (2016)Turkish Pharmacists’ Association Academy of Pharmacy Encouragement Award (2019)ISIF’21 Silver Medal for “Targeted Novel Triazolothiadiazine Derivatives for The Treatment of Lung Cancer” (2021)Award of Outstanding Woman Researcher in Pharmaceutical Chemistry, VIWA 2021

Publication📜

Design, Synthesis, and In Vivo Evaluation of a New Series of Indole-Chalcone Hybrids as Analgesic and Anti-Inflammatory Agents
Authors: Baramaki, I., Altıntop, M.D., Arslan, R., Hasan, A., Bektaş Türkmen, N.
Journal: ACS Omega, 2024, 9(10), pp. 12175–12183

Design, Synthesis, and Evaluation of a New Series of 2-Pyrazolines as Potential Antileukemic Agents
Authors: Altıntop, M.D., Cantürk, Z., Özdemir, A.
Journal: ACS Omega, 2023, 8(45), pp. 42867–42877

Design, Synthesis, and Evaluation of a New Series of Hydrazones as Small-Molecule Akt Inhibitors for NSCLC Therapy
Authors: Erdönmez, B., Altıntop, M.D., Akalın Çiftçi, G., Özdemir, A., Ece, A.
Journal: ACS Omega, 2023, 8(22), pp. 20056–20065

A New Series of Hydrazones as Small-Molecule Aldose Reductase Inhibitors
Authors: Altıntop, M.D., Demir, Y., Türkeş, C., Beydemir, Ş., Özdemir, A.
Journal: Archiv der Pharmazie, 2023, 356(4), 2200570

A New Series of Thiazole-Hydrazone Hybrids for Akt-Targeted Therapy of Non-Small Cell Lung Cancer
Authors: Orujova, T., Ece, A., Akalın Çiftçi, G., Özdemir, A., Altıntop, M.D.
Journal: Drug Development Research, 2023, 84(2), pp. 185–199

Synthesis, In Silico and In Vitro Evaluation of New 3,5-Disubstituted-1,2,4-Oxadiazole Derivatives as Carbonic Anhydrase Inhibitors and Cytotoxic Agents
Authors: Kucukoglu, K., Faydali, N., Bul, D., Ozturk, B., Guzel, I.
Journal: Journal of Molecular Structure, 2023, 1276, 134699

Discovery of Small Molecule COX-1 and Akt Inhibitors as Anti-NSCLC Agents Endowed with Anti-Inflammatory Action
Authors: Altıntop, M.D., Akalın Çiftçi, G., Yılmaz Savaş, N., Alataş, Ö., Özdemir, A.
Journal: International Journal of Molecular Sciences, 2023, 24(3), 2648

Microwave-Assisted Synthesis of a Series of 4,5-Dihydro-1H-Pyrazoles Endowed with Selective COX-1 Inhibitory Potency
Authors: Altıntop, M.D., Temel, H.E., Özdemir, A.
Journal: Journal of the Serbian Chemical Society, 2023, 88(4), pp. 355–365

Design, Synthesis, and Biological Evaluation of a New Series of Arylidene Indanones as Small Molecules for Targeted Therapy of Non-Small Cell Lung Carcinoma and Prostate Cancer
Authors: Altıntop, M.D., Özdemir, A., Temel, H.E., Kaplancıklı, Z.A., Akalın Çiftçi, G.
Journal: European Journal of Medicinal Chemistry, 2022, 244, 114851

A New Series of Thiosemicarbazone-Based Anti-Inflammatory Agents Exerting Their Action Through Cyclooxygenase Inhibition
Authors: Altıntop, M.D., Sever, B., Akalın Çiftçi, G., Alataş, Ö., Özdemir, A.
Journal: Archiv der Pharmazie, 2022, 355(9), 2200136

Ahmet Özdemir | Medicinal Chemistry | Best Researcher Award

Posted on 23/07/202423/07/2024 by ScienceFather

Prof Dr. Ahmet Özdemir | Medicinal Chemistry | Best Researcher Award

Prof Dr. Anadolu University, Turkey

Prof Dr. Ahmet Özdemir is a Professor of Pharmaceutical Chemistry at Anadolu University, holding several prestigious academic titles and administrative roles. With a strong educational foundation in pharmacy and pharmaceutical chemistry, they have supervised both master’s and doctoral theses. Their research has garnered numerous awards, including multiple Article Performance Awards and an ISIF’21 Silver Medal for their invention targeting lung cancer treatment. Dr. [Your Name] has authored significant research on synthesizing bioactive compounds, reflecting their expertise in pharmaceutical chemistry and dedication to advancing medicinal science. They are proficient in English and have an extensive international research profile, including ORCID and Scopus Author IDs.

Professional profile

Scopus

Orcid

Education 🎓

Primary School: Salihli Cumhuriyet Elementary School (1978-1983)Secondary School: Salihli 50. Yıl Secondary School (1983-1986)High School: Salihli High School (1986-1989)Undergraduate: Anadolu University, Faculty of Pharmacy (1990-1994)Master’s Degree (with Thesis): Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (1995-1996)Thesis Title: “The studies on the synthesis, structure elucidations and determination of physicochemical parameters of some 2-substituted-1H-phenantro[9,10-d]imidazole compounds”Supervisor: Prof. Dr. İlhan Işıkdağ, 02.09.1996Doctorate Degree: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical Chemistry (1996-2004)Thesis Title: “Synthesis of some 1-[(N,N-disubstituted-thiocarbonylthio)acetyl]-3-(2-thienyl)-5-aryl-2-pyrazoline derivatives and investigation of their antifungal, antibacterial activities”Supervisor: Prof. Dr. Gülhan Turan, 10.05.2004Foreign Languages: English (Intermediate)

Academic Titles 🏅

Research Assistant: Anadolu University, Faculty of Pharmacy (1997-2004)Research Assistant Doctor: Anadolu University, Faculty of Pharmacy (2004-2005)Lecturer: Anadolu University, Faculty of Pharmacy (2005-2007)Assistant Professor Doctor: Anadolu University, Faculty of Pharmacy (2007-2010)Associate Professor Doctor: Anadolu University, Faculty of Pharmacy (2010-2015)Professor Doctor: Anadolu University, Faculty of Pharmacy (2015-present)

Administrative Tasks 🗂️

Associate Director: Anadolu University Yunus Emre Vocational School (2011-2014)Vice Academic Director: Anadolu University Open Education Faculty, Department of Health Administration (2015-present)

Awards 🏆

Anadolu University Article Performance Award (2014)Anadolu University Gold Article Performance Award (2015)Anadolu University Platinum Article Performance Award (2015)Anadolu University Article Performance Award (2016, 2017, 2018, 2020)Anadolu University Academic Success Award (2019)ISIF’21 Silver Medal: Invention titled “Targeted Novel Triazolothiadiazine Derivatives for The Treatment of Lung Cancer” (2021)Right Holder: Anadolu UniversityInventors: Assoc. Prof. Dr. Belgin Sever, Prof. Dr. Mehlika Dilek Altintop, Prof. Dr. Ahmet Ozdemir, Prof. Dr. Gülşen Akalın Çiftçi

Supervised Master Dissertations 🎓

Supervisor: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical ChemistryStudent: Sevtem GökbulutDissertation Title: “Synthesis of new 5-chloro-6-methoxy-2-[4-(substituted)benzylidene]-2,3-dihydro-1H-inden-1-one derivatives and investigation of their biological effects”Date: 13/01/2017

Supervised Doctorate Dissertations 🎓

Supervisor: Anadolu University, Graduate School of Health Sciences, Department of Pharmaceutical ChemistryStudent: Muhammed KarabacakDissertation Title: “The Synthesis of New Pyrazoline Derivatives and The Investigation of Their Biological Activities”Date: 15/08/2016

Publication📜

Design, Synthesis, and In Vivo Evaluation of a New Series of Indole-Chalcone Hybrids as Analgesic and Anti-Inflammatory Agents

Baramaki, I., Altıntop, M.D., Arslan, R., Hasan, A., Bektaş Türkmen, N.
ACS Omega, 2024, 9(10), pp. 12175–12183

Design, Synthesis, and Evaluation of a New Series of 2-Pyrazolines as Potential Antileukemic Agents

Altıntop, M.D., Cantürk, Z., Özdemir, A.
ACS Omega, 2023, 8(45), pp. 42867–42877

Design, Synthesis, and Evaluation of a New Series of Hydrazones as Small-Molecule Akt Inhibitors for NSCLC Therapy

Erdönmez, B., Altıntop, M.D., Akalın Çiftçi, G., Özdemir, A., Ece, A.
ACS Omega, 2023, 8(22), pp. 20056–20065

A New Series of Hydrazones as Small-Molecule Aldose Reductase Inhibitors

Altıntop, M.D., Demir, Y., Türkeş, C., Beydemir, Ş., Özdemir, A.
Archiv der Pharmazie, 2023, 356(4), 2200570

A New Series of Thiazole-Hydrazone Hybrids for Akt-Targeted Therapy of Non-Small Cell Lung Cancer

Orujova, T., Ece, A., Akalın Çiftçi, G., Özdemir, A., Altıntop, M.D.
Drug Development Research, 2023, 84(2), pp. 185–199

Discovery of Small Molecule COX-1 and Akt Inhibitors as Anti-NSCLC Agents Endowed with Anti-Inflammatory Action

Altıntop, M.D., Akalın Çiftçi, G., Yılmaz Savaş, N., Alataş, Ö., Özdemir, A.
International Journal of Molecular Sciences, 2023, 24(3), 2648

Microwave-Assisted Synthesis of a Series of 4,5-Dihydro-1H-Pyrazoles Endowed with Selective COX-1 Inhibitory Potency

Altıntop, M.D., Temel, H.E., Özdemir, A.
Journal of the Serbian Chemical Society, 2023, 88(4), pp. 355–365

Naresh Kamble | Cyber Security | Best Researcher Award

Posted on 22/07/202423/07/2024 by ScienceFather

Mr. Naresh Kamble | Cyber Security | Best Researcher Award

D.Y.Patil Agriculture & Technical University, Talsande, Kolhapur, India

Naresh Kamble is an accomplished Assistant Professor at D.Y. Patil Agriculture & Technical University, Kolhapur, with extensive experience in teaching, research, and academic administration. He is pursuing his Ph.D. in Cyber Security and Machine Learning from VIT University, Bhopal, and has a strong track record of publications in reputed journals. Naresh has played a pivotal role in organizing workshops and providing consultancy for NBA accreditation, contributing significantly to the academic growth and development of various institutions. His research interests lie in the domains of cyber security, machine learning, and data security, with a focus on innovative and practical applications.

Professional profile

Education📚

Bachelor of Information Technology, Shivaji University, Kolhapur, 2010

M.E. in Computer Network, SPPU University, Pune, 2016

Ph.D. in Cyber Security and Machine Learning (Pursuing), VIT University, Bhopal, 2019-Present

Completed coursework with 8.00 CGPA and successfully completed the comprehensive examination.

Professional Experience🏛️

Naresh Kamble is a seasoned academic professional with over 13 years of experience in the field of Computer Science and Engineering. Currently, he serves as an Assistant Professor in the CSE (AR-VR & Multimedia) Department at D.Y. Patil Agriculture & Technical University, Talsande, Kolhapur, since May 2024. His academic journey includes significant roles such as:

Assistant Professor in the CSE (AIML & DS) Department at Kolhapur Institute of Technology (Feb 2023 – May 2024)
Lecturer in the CSE Department at Sanjay Ghodawat Polytechnic, Atigre (June 2014 – Feb 2023)
Assistant Professor in the CSE Department at Sanjay Ghodawat Institute (Dec 2011 – May 2014)
Lecturer in the IT Department at Sanjay Ghodawat Institute (Aug 2011 – Dec 2011)
Head of Department in the CSE Department at Vithal Patil Polytechnic, Sangli (July 2010 – June 2011)
Lecturer in the CSE Department at Govt. Polytechnic, Tasgaon (2010-2011)

Additionally, he has held significant administrative roles such as Central IT in-charge, NAAC team member, Central AKASH Coordinator, Central Feedback Coordinator, and Central NBA Coordinator. He has been actively involved in organizing workshops and providing consultancy for NBA accreditation, with several institutions achieving successful accreditation under his guidance.

Research Interest🌐

Naresh Kamble’s research primarily focuses on:

Cyber Security
Machine Learning
Image Processing
Data Security
Artificial Intelligence
Blockchain Technology

His ongoing Ph.D. research revolves around detecting phishing attacks using NLP and machine learning, for which he has received a copyright from the Government of India.

Author Metrics

Naresh Kamble has contributed to the academic community through various publications. Some of his notable works include:

A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement (Earth Science Informatics, 2023) – 5 Citations
Designing Artificial Intelligence (AI) Based Secured Framework to Improvise the Data Security of Confidential Academic Records (International Journal of Intelligent Systems and Applications in Engineering, 2023) – 2 Citations
Content-Based Image Recovery System with the Aid of Median Binary Design Pattern (Traitement du Signal, 2023) – 2 Citations
Phishing Attack Detection using NLP and Machine Learning (Grenze International Journal of Engineering & Technology, 2023, Scopus Indexed)
BHAS: A Blockchain-Based Healthcare Analytic System for Quality of Service Concerns in PHR (Grenze International Journal of Engineering & Technology, 2023, Scopus Indexed)

Publication📜

An attainment tool for measuring course outcomes and program outcomes

SS Dandin, R Jinde, N Kamble
International Journal for Advance Research and Development, 3(3), 24-27, 2018
4 Citations

Hybrid optimization enabled squeeze net for phishing attack detection

N Kamble, N Mishra
Computers & Security, 144, 103901, 2024

Securing Cyberspace: Unveiling Phishing Attacks Through Deep Neural Networks for Enhanced Detection

N Kamble, N Mishra
2024 International Conference on Advancements in Smart, Secure and Sustainable Computing, 2024

BHAS: A Blockchain-Based Healthcare Analytic System to Manage Privacy and Scalability Concerns

S Rokade, N Mishra, N Kamble
Grenze International Journal of Engineering & Technology (GIJET), 9(2), 2023

Phishing Attack Detection using NLP and Machine Learning

N Kamble, N Mishra, S Rokade
Grenze International Journal of Engineering & Technology (GIJET), 9(2), 2023

Vijayakumar Varadarajan | Computer Science | Best Researcher Award

Posted on 22/07/202422/07/2024 by ScienceFather

Prof. Dr. Vijayakumar Varadarajan | Computer Science | Best Researcher Award

Dean International Division of Ajeenkya D Y Patil University, India

Prof. Dr. Vijayakumar Varadarajan holds a distinguished academic background, beginning with his undergraduate studies in engineering, where he achieved the Anna Award for First Rank at Vellore Engineering College, University of Madras (2000) 🎓🥇. He further excelled academically by securing a 100% result at SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📈🏆. His commitment to excellence continued through his Master’s studies, culminating in a PhD that propelled him into a career of impactful research and innovation. His academic journey reflects a blend of rigorous scholarship and outstanding achievements, setting a strong foundation for his extensive contributions to the field. 📚✨

Professional profile

Google Scholar.

Education📚

Professional Experience🏛️

Prof. Dr. Vijayakumar Varadarajan boasts an impressive professional career spanning over two decades, marked by significant contributions in both academia and industry. 🌟 With innovative managerial experience at various national and international institutions, he has skillfully advanced and executed strategies to realize organizational visions. His roles have included overseeing change management and facilitating performance improvements, which have strengthened teamwork and collaboration. 🌍🤝 Notably, he has been instrumental in mentoring through prestigious fellowships, such as those awarded to researchers from Universite Nangui Abrogoua and Landmark University by FICCI/DST India. 🌐🎓 His career also highlights his dedication to education, with roles that emphasize internal and external collaboration, grant management, and organizational development, all while striving to position organizations among the global elite. 💼📈

Research Interest🌐

Prof. Dr. Vijayakumar Varadarajan is deeply engaged in cutting-edge research within the realm of computer science and engineering. 💻🔬 His work focuses on advancing technologies and strategies in cloud computing ☁️, cybersecurity 🔒, and innovative managerial practices. His research interests also encompass the design and implementation of long-term strategies to enhance organizational effectiveness and drive impactful change. 🌟📈 With a commitment to fostering global collaborations, his research is geared towards leveraging expertise and resources to achieve top-tier results and contribute to the advancement of the field. 🌍🤝

Awards and Honors🏆

Prof. Dr. Vijayakumar Varadarajan has received numerous accolades throughout his distinguished career, underscoring his excellence and contributions to the field. 🏆✨ Among his notable honors are the CHARUSAT Research Paper Award (2023) 🎓🏅 and the Best Guest Editor Award from IJISC (2021) 📘🥇. His achievements in environmental and technological impact have been recognized with the Silver Award for Green Impact from UNSW, Australia (2020) 🌱🥈 and the Top 13 Best Cloud Computing Book Award by Book Authority (2020) 📚☁️. Additionally, he has been celebrated for his contributions to cybersecurity literature 📘🔒 and honored as a European Alliance for Innovation Fellow (2019) 🤝🇪🇺. His early accomplishments include the Anna Award for First Rank at Vellore Engineering College (2000) 🎓🥇 and a series of awards at Mahindra Satyam and FORD India, highlighting his consistent dedication and excellence in his field. 👏🚗

Research skill🔬

Prof. Dr. Vijayakumar Varadarajan possesses exceptional research skills that have significantly impacted the fields of computer science and engineering. 🔬💻 His expertise includes advanced cloud computing ☁️, robust cybersecurity 🔒, and strategic management practices, showcasing his ability to drive innovation and tackle complex challenges. He excels in designing and implementing research strategies that promote organizational growth and technological advancements 🌟📈. His skills also extend to managing high-profile research projects, fostering international collaborations 🌍🤝, and ensuring transparency and efficiency in grant management 💼. With a keen focus on both theoretical and applied aspects of research, Dr. Varadarajan continues to contribute valuable insights and solutions to his field. 📊🔍

Achievements🏅

CHARUSAT Research Paper Award (2023) 🏆📜
Best Guest Editor Award from IJISC (2021) 🥇📘
LinkedIn Badge for Our K17 Green Team, UNSW, Australia (2020) 🌱🦘
Silver Award, Green Impact 2020, UNSW, Australia 🥈🌏
Top 13 Best Cloud Computing Book Award by Book Authority (2020) 📚☁️
Appreciation for Cybersecurity Book in New K-12 Online Learning E-Book Collection, IGI Global (2020) 📘🔒
European Alliance for Innovation Fellow (2019) 🤝🇪🇺
Research Award, VIT Chennai (2014-2019) 🏅🎓
Best Faculty Award, VIT Chennai (2016) 🌟🏫
Outstanding Contribution Award, Design for Scientific Renaissance, UK (2018-2019) 🏆🇬🇧
Anna Award – First Rank, Vellore Engineering College, University of Madras (2000) 🎓🥇
100% Result Achievement, SRM Easwari Engineering College, Anna University Chennai (2001-2003) 📊🏆
Bravo Award, Mahindra Satyam (2009) 👏🏆
Pat on Back Award, Mahindra Satyam (2010) 👏👏
Vendor Excellence Award, FORD India (2011) 🏅🚗
Honours Award, Department of Technical Education Diploma 🎖️📜
Centum in Mathematics, Secondary School Leaving Certificate 📈📊

Projects🛠️

Post Doctoral Inbound Fellowship for Mr. Yaya SORO 🌍🎓
- Institution: Université Nangui Abrogoua
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Ikponmwosa Owen Evbuomwan 🌍🔬
- Institution: Landmark University, Nigeria
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Ahmed Abbi Abdille 🌍🧪
- Institution: Somalia
- Sponsorship: FICCI/DST India
CV RAMAN Research Inbound Fellowship for Mr. Coulibaly Hermann 🌍📚
- Institution: Université Nangui Abrogoua, Ivory Coast
- Sponsorship: FICCI/DST India
Certified for Marathon, Run for Vivek and Run with Vivekananda, Ferguson College, Pune (2023) 🏃‍♂️🏅

Publication📜

“A study on medical Internet of Things and Big Data in personalized healthcare system”
- Authors: V Jagadeeswari, V Subramaniyaswamy, R Logesh, V Vijayakumar
- Journal: Health Information Science and Systems
- Year: 2018
- Citations: 343
- Volume & Issue: 6 (1), 14
- Emojis: 🏥📊🔍
“Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance system”
- Authors: M Poongodi, A Sharma, V Vijayakumar, V Bhardwaj, AP Sharma, R Iqbal, …
- Journal: Computers & Electrical Engineering
- Year: 2020
- Citations: 311
- Volume: 81, 106527
- Emojis: 💹🔗📉
“Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires”
- Authors: S Sudhakar, V Vijayakumar, CS Kumar, V Priya, L Ravi, …
- Journal: Computer Communications
- Year: 2020
- Citations: 257
- Volume & Pages: 149, 1-16
- Emojis: 🚁🔥🌲
“Random forest bagging and x‐means clustered antipattern detection from SQL query log for accessing secure mobile data”
- Authors: RK Dhanaraj, V Ramakrishnan, M Poongodi, L Krishnasamy, M Hamdi, …
- Journal: Wireless Communications and Mobile Computing
- Year: 2021
- Citations: 222
- Volume & Article: 2021 (1), 2730246
- Emojis: 🔍📊🔐
“Genetic algorithm based demand side management for smart grid”
- Authors: C Bharathi, D Rekha, V Vijayakumar
- Journal: Wireless Personal Communications
- Year: 2017
- Citations: 215
- Volume & Pages: 93, 481-502
- Emojis: ⚙️🌐💡
“Intrusion prevention system for DDoS attack on VANET with reCAPTCHA controller using information based metrics”
- Authors: M Poongodi, V Vijayakumar, F Al-Turjman, M Hamdi, M Ma
- Journal: IEEE Access
- Year: 2019
- Citations: 206
- Volume & Pages: 7, 158481-158491
- Emojis: 🚨🔒📊
“New York City taxi trip duration prediction using MLP and XGBoost”
- Authors: M Poongodi, M Malviya, C Kumar, M Hamdi, V Vijayakumar, J Nebhen, …
- Journal: International Journal of System Assurance Engineering and Management
- Year: 2022
- Citations: 203
- Volume & Pages: 1-12
- Emojis: 🚖⏱️📊
“5G based Blockchain network for authentic and ethical keyword search engine”
- Authors: M Poongodi, M Malviya, M Hamdi, V Vijayakumar, MA Mohammed, …
- Journal: IET Communications
- Year: 2022
- Citations: 195
- Volume & Pages: 16 (5), 442-448
- Emojis: 📱🔗🔍
“Random forest for big data classification in the internet of things using optimal features”
- Authors: SK Lakshmanaprabu, K Shankar, M Ilayaraja, AW Nasir, V Vijayakumar, …
- Journal: International Journal of Machine Learning and Cybernetics
- Year: 2019
- Citations: 183
- Volume & Pages: 10 (10), 2609-2618
- Emojis: 📊🌐🔍
“Bitcoin price prediction using ARIMA model”
- Authors: M Poongodi, V Vijayakumar, N Chilamkurti
- Journal: International Journal of Internet Technology and Secured Transactions
- Year: 2020
- Citations: 177
- Volume & Issue: 10 (4)
- Emojis: 💵📉🔮
“The state of the art of deep learning models in medical science and their challenges”
- Authors: C Bhatt, I Kumar, V Vijayakumar, KU Singh, A Kumar
- Journal: Multimedia Systems
- Year: 2021
- Citations: 163
- Volume & Pages: 27 (4), 599-613
- Emojis: 🧠💉🔍
“A personalised movie recommendation system based on collaborative filtering”
- Authors: V Subramaniyaswamy, R Logesh, M Chandrashekhar, A Challa, …
- Journal: International Journal of High Performance Computing and Networking
- Year: 2017
- Citations: 156
- Volume & Issue: 10 (1-2)
- Emojis: 🎬🤝📈

Meiyan Liang | Computer Science | Best Researcher Award

Posted on 11/03/202418/03/2024 by ScienceFather

Assoc Prof Dr. Meiyan Liang, Computer Science, Best Researcher Award

Associate Professor at Shanxi University, China

Meiyan Liang, PhD, is an accomplished researcher in the field of Instrument Science and Technology, with a focus on Deep Learning and Medical Image Processing. Currently affiliated with the School of Physics and Electronic Engineering at Shanxi University in China, Dr. Liang completed her PhD at the Opto-Electronic College, Beijing Institute of Technology. She has made significant contributions to the development of innovative technologies for the identification and classification of various medical conditions, particularly in cancer diagnosis. Her work spans both theoretical and experimental domains, with a particular emphasis on leveraging neural networks and terahertz imaging techniques. Dr. Liang’s expertise is recognized through numerous awards, patents, and a prolific publication record in prestigious journals.

Author Metrics

Scopus Profile

ORCID Profile

Dr. Liang’s research output is not only extensive but also impactful, as evidenced by her author metrics. She has consistently published in high-impact journals, demonstrating the significance of her work within the scientific community. Additionally, Dr. Liang’s patents highlight her innovative approach to problem-solving and technology development.

Citations: 138 citations across 136 documents
Documents: Authored 25 documents
h-index: 5

Education

Dr. Meiyan Liang obtained her PhD in Instrument Science and Technology from the Opto-Electronic College at Beijing Institute of Technology. Her doctoral research focused on the application of deep learning methodologies in medical image processing, particularly for cancer diagnosis.

Research Focus

Dr. Liang’s research primarily centers around two main areas: Deep Learning and Medical Image Processing. Within these domains, she specializes in utilizing neural networks for the interpretation and analysis of medical images, with a particular emphasis on cancer detection and classification. Her work also involves the integration of advanced imaging techniques, such as terahertz imaging, to develop novel diagnostic tools.

Professional Journey

Following her doctoral studies, Dr. Liang embarked on a professional journey that has seen her become an esteemed researcher in the field of medical imaging. She has held positions at various academic institutions, including her current role at Shanxi University. Throughout her career, Dr. Liang has secured research funding, published extensively, and obtained several patents for her innovative contributions to the field.

Honors & Awards

Dr. Liang’s outstanding contributions to her field have been recognized through numerous honors and awards. Notable accolades include being awarded the “Sanjin talent” by the government of Shanxi Province and receiving the “China Instrument & Control Society Scholarship” from the Chinese instrumentation society.

Research Timeline

Dr. Liang’s research timeline showcases her progression as a researcher and the evolution of her research interests. Starting from her doctoral studies, she has continued to expand her expertise and contribute to advancements in medical imaging technology. Her research timeline reflects a commitment to excellence and a dedication to addressing critical challenges in healthcare through innovative research.

Publications Noted & Contributions

Dr. Liang has made significant contributions to the academic community through her prolific publication record. Her research findings have been published in prestigious journals such as the IEEE Journal of Biomedical and Health Informatics, Computer Methods and Programs in Biomedicine, and The Visual Computer. These publications cover a wide range of topics, including interpretable inference, whole-slide image prediction, and pathology image restoration.

Title: Interpretable Inference and Classification of Tissue Types in Histological Colorectal Cancer Slides Based on Ensembles Adaptive Boosting Prototype Tree

Authors: Liang, M., Wang, R., Liang, J., Zhang, T., Zhang, C.
Journal: IEEE Journal of Biomedical and Health Informatics, 2023, 27(12), pp. 6006–6017
Abstract: This paper presents a method for interpretable inference and classification of tissue types in histological colorectal cancer slides using ensembles adaptive boosting prototype tree.

Title: Multi-scale self-attention generative adversarial network for pathology image restoration

Authors: Liang, M., Zhang, Q., Wang, G., Liu, H., Zhang, C.
Journal: Visual Computer, 2023, 39(9), pp. 4305–4321
Abstract: This paper introduces a multi-scale self-attention generative adversarial network for pathology image restoration.
Citations: 1

Title: Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network

Authors: Liang, M., Chen, Q., Li, B., Jiang, X., Zhang, C.
Journal: Computer Methods and Programs in Biomedicine, 2023, 229, 107268
Abstract: This paper proposes an interpretable classification method for pathology whole-slide images using an attention-based context-aware graph convolutional neural network.
Citations: 6

Title: A novel strategy regarding geometric product for liquids discrimination based on THz reflection spectroscopy

Authors: Liu, H., Liu, X., Zhang, Z., Liang, M., Zhang, C.
Journal: Spectrochimica Acta – Part A: Molecular and Biomolecular Spectroscopy, 2022, 274, 121104
Abstract: This paper proposes a novel strategy for liquids discrimination based on THz reflection spectroscopy using the geometric product.
Citations: 1

Title: THz ISAR imaging using GPU-accelerated phase compensated back projection algorithm

Authors: Liang, M.-Y., Ren, Z.-Y., Li, G.-H., Zhang, C.-L., Fathy, A.E.
Journal: Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, 2022, 41(2), pp. 448–456
Abstract: This paper presents THz ISAR imaging using a GPU-accelerated phase-compensated back projection algorithm.
Citations: 3

Devendra Yadav | Computer Science | Industry Innovation Recognition Award

Posted on 16/02/202423/02/2024 by ScienceFather

Assist Prof Dr. Devendra Yadav, Computer Science, Industry Innovation Recognition Award

Assistant Professor at XIM University India

Dr. Devendra Kumar Yadav is a dedicated researcher and educator with expertise in wireless communication, IoT, and embedded systems. He holds a Ph.D. in Development of IoT-based wireless sensor systems for slope stability monitoring in open-cast mines from NIT Rourkela. With a strong academic background in Electronics and Communication Engineering, he has contributed significantly to the field through his research, publications, and professional experiences.

Author Metrics

Dr. Yadav’s research impact is reflected in his author metrics, including citations, h-index, and publication venues. He maintains a strong presence on academic platforms such as Google Scholar and ResearchGate, where his publications are widely accessed and cited by fellow researchers in the field.

Scopus Profile

Google Scholar Profile

ORCID Profile

Dr. Devendra Kumar Yadav is affiliated with XIM University in Bhubaneswar, India. His Scopus Author Identifier is 57190345456. He has 49 citations from 46 documents, with 10 documents attributed to him. His h-index is 4.

Education

Dr. Devendra Kumar Yadav completed his B.Tech. in Electronics and Communication Engineering from Sambalpur University, followed by an M.Tech. in Information and Communication Technology from Veer Surendra Sai University of Technology. He pursued his Ph.D. at NIT Rourkela, focusing on IoT-based wireless sensor systems for slope stability monitoring in open-cast mines, where he achieved a notable CGPA.

Research Focus

Dr. Yadav’s research primarily revolves around wireless communication, IoT, embedded systems, and their applications in various domains. His Ph.D. research focused on developing IoT-based wireless sensor systems for slope stability monitoring in open-cast mines, which involved the integration of fog computing and LoRa communication technology.

Professional Journey

Dr. Yadav has gained diverse professional experience, starting as a Project Associate at NIT Rourkela, where he contributed to research projects. He later served as a Teaching Assistant at the same institution. He then transitioned to roles as an Assistant Professor in CSE at SRMIST, Delhi-NCR, Ghaziabad, and currently serves as an Assistant Professor-II at XIM University, Bhubaneswar.

Research Timeline

Dr. Yadav’s research timeline highlights his progression from undergraduate studies to his current position as an Assistant Professor-II. It showcases key milestones such as completing his Ph.D., presenting at conferences, publishing papers, and transitioning between academic and professional roles. This timeline underscores his continuous growth and contributions to the field of wireless communication and IoT.

Publications Top Noted & Contributions

Dr. Yadav has made significant contributions to the academic community through his publications and conference presentations. His research papers have been published in reputable journals such as IEEE Transactions on Instrumentation & Measurement and Arabian Journal for Science and Engineering. He has also presented his work at various international and national conferences.

An Energy-Efficient Trajectory Prediction for UAVs Using an Optimised 3D Improvised Protocol

Authors: V. Gupta, D.D. Seth
Published in Wireless Personal Communications in 2023.
This paper likely discusses a method for predicting the trajectories of Unmanned Aerial Vehicles (UAVs) using an optimized 3D protocol to improve energy efficiency.

Studying Time Domain Reflectometry to Predict Slope Failure in Open-Cast Mines

Authors: D.K. Yadav, G. Karthik, S. Jayanthu, S.K. Das, S.K. Sharma
Published in the Journal of Mining Science in 2020.
Focuses on the application of Time Domain Reflectometry (TDR) in predicting slope failures in open-cast mines, likely exploring its effectiveness and reliability in this context.

Testing of LoRa Module for Communication Systems in Opencast Mines Vis-a-vis Slope Stability

Authors: D.K. Yadav, S. Jayanthu
Published in 2018.
This paper appears to investigate the use of LoRa (Long Range) communication modules in opencast mines and how they relate to slope stability, likely assessing their performance and reliability.

Real-Time Dynamic Relative Positioning of an Unmanned Ground Vehicle

Authors: D.K. Yadav, P. Mishra, K. Patel, S.K. Das
Presented at the International Conference on “Computing for Sustainable Global Development” in 2017.
This likely presents a method for real-time dynamic relative positioning of Unmanned Ground Vehicles (UGVs), which could have applications in various fields including robotics and autonomous navigation.

A Quantitative Understanding of Human Sex Chromosomal Genes

Authors: S.S. Hassan, P.P. Choudhury, A. Sengupta, B. Sahu, R. Mishra, D.K. Yadav, …
Appears to be a preprint on arXiv from 2012.
This paper seems to delve into the quantitative analysis of genes located on the sex chromosomes in humans, potentially contributing to the understanding of genetic mechanisms related to sex determination and other biological processes.

Wei Yan | Computer Science | Best Researcher Award

Posted on 03/02/202403/02/2024 by ScienceFather

Assoc Prof Dr. Wei Yan, Computer Science, Best Researcher Award

Associate professor at Shandong Normal University, China

Wei Yan is an Associate Professor at Shandong Normal University, China, specializing in Computer Science. Holding a PhD from INSA de Strasbourg and Université de Strasbourg, France, he has a rich academic background. Wei’s expertise lies in Building Information Model, Knowledge Graph, and Explainable Artificial Intelligence, with a focus on predictive maintenance.

Author Metrics:

While the bio provides a comprehensive list of publications, it does not include specific author metrics such as citation counts, h-index, or other quantitative measures of research impact.

Scopus Profile

Citations: The number of times Wei Yan’s research papers and documents have been cited by other researchers. Higher citation counts generally indicate that the author’s work has had a significant impact and is considered valuable by peers in the academic community.

Documents: The total number of research papers, articles, or documents authored by Wei Yan. This metric reflects the overall productivity and output of the author.

h-index: The h-index is a numerical indicator of an author’s productivity and citation impact. An author has an h-index of ‘7,’ suggesting that there are at least seven papers that have been cited at least seven times. It’s a balanced metric that considers both the quantity and impact of an author’s work.

Education:

Wei Yan pursued his education across esteemed institutions, earning a BEng in Computer Science and Technology from Qufu Normal University in 2006 and completing a PhD in Computer Science from INSA de Strasbourg and Université de Strasbourg, France, in 2014.

Research Focus:

His research revolves around Building Information Model, Knowledge Graph, Explainable Artificial Intelligence, and Predictive Maintenance. Wei’s work extends to inventive problem-solving methodologies and applications in industrial engineering design.

Professional Journey:

Wei Yan’s professional journey encompasses roles as a Postdoctoral Researcher at Université de Claude Bernard Lyon 1, France, and a Lecturer at Shandong Normal University, China. He also taught at ECAM Strasbourg, France, showcasing a diverse and international experience.

Publications Top Noted & Contributions:

Wei Yan has made significant contributions to his field with multiple peer-reviewed journal articles and conference proceedings. His publications cover topics such as ontology-based inventive problem solving, TRIZ methodology, and the application of knowledge graphs in predictive maintenance.

Title: Intelligent Predictive Maintenance of Hydraulic Systems Based on Virtual Knowledge Graph

Authors: Yan, W.; Shi, Y.; Ji, Z.; Wang, W.; Cao, Q.
Journal: Engineering Applications of Artificial Intelligence, 2023, Volume 126, Page 106798
Abstract: The abstract is not provided, as indicated by “This link is disabled.”

Title: A Frequency-Tunable Fractional-N PLL for High-Energy Physics Experiments

Authors: Gong, Y.; Yan, W.; Luo, M.; Wang, C.; Zhang, L.
Journal: IEEE Transactions on Nuclear Science, 2023, Volume 70(4), Pages 722–729
Abstract: The abstract is not provided, as indicated by “This link is disabled.”
Citations: 1 citation

Title: Bearing Fault Diagnosis and Interpretation Based on 2D Images and Convolutional Neural Network

Authors: Tian, Z.; Zhang, X.; Yan, W.; Wang, J.
Conference: 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Pages 2155–2162
Abstract: The abstract is not provided, as indicated by “This link is disabled.”
Citations: 0 citations

Title: Mechanical Fault Prediction Based on Event Knowledge Graph

Authors: He, L.; Zhang, L.; Yan, W.
Conference: International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K – Proceedings, 2023, Volume 2, Pages 164–173
Abstract: The abstract is not provided, as indicated by “This link is disabled.”
Citations: 0 citations

Title: A Rule-Based Heuristic Methodology for Su-Field Analysis in Industrial Engineering Design

Authors: Yan, W.; Zanni-Merk, C.; Cavallucci, D.; Zhang, L.; Ji, Z.
Journal: Information (Switzerland), 2022, Volume 13(3), Page 143
Abstract: The abstract is not provided, as indicated by “This link is disabled.”