Sirlene Maria da Costa | Textile | Best Researcher Award

Posted on by ScienceFather

Sirlene Maria da Costa | Textile | Best Researcher Award

Assoc Prof Dr Sirlene Maria da Costa University of Sao Paulo, Brazil

A graduate in Industrial Chemical Engineering from the Faculty of Chemical Engineering of Lorena (FAENQUIL), now part of the School of Engineering of Lorena (EEL-USP), São Paulo (1996). She earned her master’s degree (1999) and Ph.D. (2005) in Industrial Biotechnology from FAENQUIL. Furthering her expertise, she completed a postdoctoral degree in Pharmaceutical Biochemical Technology at the Faculdade de Ciências Farmacêuticas, USP-SP. Formerly a researcher at the Center for Technical and Manufactured Textiles (CETIM) of the Technological Research Institute (IPT), she currently serves as a lecturer and researcher at the University of São Paulo EACH/USP. Her focus includes Textile Technology and Industrial Biotechnology, specializing in agroindustrial residues, biopulping, cellulose production, natural polymers, enzymes, and technical textiles.

Education:

She completed her Doctorate in Industrial Biotechnology from the Faculty of Chemical Engineering of Lorena (FAENQUIL), Lorena, Brazil, spanning from 2001 to 2005. Her doctoral research, conducted under the guidance of Adilson Roberto Gonçalves, focused on characterizing chemical pulps derived from a biological pretreatment of sugarcane bagasse in a 20L bioreactor. Her commitment to advancing knowledge in this field was recognized with a scholarship from the São Paulo Research Foundation. Prior to her doctorate, she earned a Master’s in Microbiology from FAENQUIL (1999), exploring biological pretreatment with Panus tigrinus strains on sugarcane bagasse preceding chemical pulping. Her academic journey began with a Bachelor’s in Industrial Chemical Engineering at FAENQUIL (1996), showcasing a continuous dedication to advancing expertise in biotechnology and related fields.

🌐 Profile Links:

Experience:

From 2001 to 2005, she pursued her doctorate in Industrial Biotechnology. Currently, she holds a public service position, designated as Referência MS-3, RDIDP, working full-time for 40 hours weekly with exclusiveness. Alongside her primary role, she serves as a Titular Member of the Coordination Committee for the Textile and Fashion Course (CoC-TM). Since 2011, she has been actively engaged in this public service position, maintaining Referência MS-3, RDIDP, with full-time and exclusive commitment. In her administrative capacities, she currently holds the position of Vice Coordinator for the Postgraduate Program in Textile and Fashion at EACH/USP since July 2020. Additionally, as of May 2020, she serves as a Substitute Member of the Research Committee (CPq). With a continuous commitment to education, since August 2017, she has been teaching postgraduate courses in Textile and Fashion, offering expertise in disciplines such as TXM5016 – Application of Enzymes in the Textile Industry.

Publications:

  1. Use of sugar cane straw as a source of cellulose for textile fiber production Cited By : 117, Published By : 2013
  2. Sugarcane straw as a potential second generation feedstock for biorefinery and white biotechnology applications Cited By : 72, Published By : 2021
  3. Natural dye from Croton urucurana Baill. bark: Extraction, physicochemical characterization, textile dyeing and color fastness properties Cited By : 63, Published By : 2020
  4. Fibers obtained from alginate, chitosan and hybrid used in the development of scaffolds Cited By : 40, Published By : 2017
  5. Blocking erythemally weighted UV radiation using cotton fabrics functionalized with ZnO nanoparticles in situ Cited By : 39, Published By : 2019
  6. Bromelain immobilization in cellulose triacetate nanofiber membranes from sugarcane bagasse by electrospinning technique  Cited By : 38, Published By : 2020
  7. Integrated processes for use of pulps and lignins obtained from sugarcane bagasse and straw: a review of recent efforts in Brazil Cited By : 38, Published By : 2005
  8. Ceriporiopsis subvermispora used in delignification of sugarcane bagasse prior to soda/anthraquinone pulping Cited By : 35, Published By : 2005
  9. Natural dye from Croton urucurana Baill. bark: extraction, physicochemical characterization, textile dyeing and color fastness properties Cited By : 28, Published By : 2020
  10. Reuse of water from real reactive monochromic and trichromic wastewater for new cotton dyes after efficient treatment using H2O2 catalyzed by UV light Cited By : 23, Published By : 2021

 

Mojtaba Ehsanifar | Environmental Neuroscience | Member

Posted on by ScienceFather

Mojtaba Ehsanifar | Environmental Neuroscience | Member

Assist Prof Dr Mojtaba Ehsanifar Torbat Jam University of Medical Sciences, Torbat Jam, Iran

Dr. Mojtaba Ehsanifar completed his Ph.D on December 25, 2018, in Environmental Health at the Iran University of Medical Sciences, Tehran, Iran. And now he continues his research on Environmental Neuroscience, Neurotoxicology, and Environmental Exposure. His research interests include Environmental Exposure, Neurotoxicology, Neurobehavioral, Neuroinflammation, and Oxidative Stress. He has done several projects on the effects of air pollution and nanoparticles in urban air on Neurobehavioral alteration, Neuroinflammation, and oxidative stress in animals using in-vivo models with a focus on the molecular mechanisms involved in neurodegenerative diseases. He has published several papers in reputed journals and presented them at congresses. Also, he has Cooperation as an editorial board member and reviewer with some of the reputed journals.

Education:

Dr. Mojtaba Ehsanifar holds a Ph.D. in Environmental Health from the Iran University of Medical Sciences, Tehran, Iran. His current focus lies in Environmental Neuroscience and The Exposome, where he continues his research endeavors. His areas of expertise span Neurotoxicology, Neurobehavioral and Neurodegenerative disorders, with particular interest in the effects of air pollution and nanoparticles in urban air on various neurological aspects. Through extensive projects, he has explored Neurobehavioral alteration, Anxiety and Depression, Learning and Memory, Neuroinflammation, and oxidative stress in animals, employing in-vivo models. His research delves into the molecular mechanisms underlying neuropathology and neurodegenerative diseases. With over 60 papers published in reputable journals and presentations at esteemed congresses, he actively contributes to the scientific community. Additionally, Dr. Ehsanifar serves as an editorial board member and reviewer for distinguished journals, further enhancing his involvement in advancing environmental health research.

🌐 Profile Links:

Experience:

He has been associated with the Anatomical Sciences Research Center at Kashan University of Medical Sciences in Kashan, Iran, since June 2015. In this role, he contributes to various research endeavors and scholarly pursuits within the field of anatomical sciences. His work encompasses a wide range of topics, including but not limited to anatomy, histology, and related research areas. Through his ongoing tenure at the center, he continues to make valuable contributions to the advancement of anatomical knowledge and scientific inquiry.

Publications:

  1. Exposure to nanoscale diesel exhaust particles: Oxidative stress, neuroinflammation, anxiety and depression on adult male mice Cited By : 89, Published By : 2022
  2. Airborne aerosols particles and COVID-19 transition Cited By : 61, Published By : 2021
  3. Prenatal exposure to diesel exhaust particles causes anxiety, spatial memory disorders with alters expression of hippocampal pro-inflammatory cytokines and NMDA receptor Cited By : 54, Published By : 2019
  4. Learning and memory disorders related to hippocampal inflammation following exposure to air pollution Cited By : 29, Published By : 2021
  5. The share of different vehicles in air pollutant emission in Tehran, Using 2013 Traffic Information Cited By : 21, Published By : 2016
  6. Study of microbial quality and heavy metal determination in 15 brands of Iranian bottled drinking water during 2009-2010 Cited By : 21, Published By : 2011
  7. Exposure to air pollution nanoparticles: Oxidative stress and neuroinflammation Cited By : 18, Published By : 2021
  8. Evaluation of bacterial quality and trace elements concentrations in 25 brands of Iranian bottled drinking water
  9. Cited By : 18, Published By : 2011
  10. Exposure To urban air pollution nanoparticles and CNS disease Cited By : 16, Published By : 2021

 

 

Mona Ismail | Nature Product | Member

Posted on by ScienceFather

Mona Ismail | Nature Product | Member

Dr Mona Ismail National Institute of Oceanography and Fisheries, Egypt

Mona Ismail is an Associate Professor of Phycology at the National Institute of Oceanography and Fisheries in Alexandria, Egypt. With a notable expertise in her field, she has authored approximately 40 published papers in international journals, establishing herself as a respected voice in the scientific community. Her contributions extend beyond research, as she actively participates as both an editor and reviewer for various prestigious scientific international journals. Passionate about algae and biodiversity, she remains dedicated to advancing knowledge in these areas through her ongoing studies and scholarly endeavors. With her profound interest and extensive experience, she continues to make valuable contributions to the field of phycology, enriching our understanding of marine ecosystems and biodiversity conservation.

Education:

She holds a Ph.D. in Microbiology with a specialization in Phycology, obtained from the Faculty of Science at Tanta University, Egypt, in May 2010. Her doctoral research focused on the biological treatment of agricultural wastes, particularly in controlling rot root of Glycine Max. Prior to this, she earned her Master of Science degree in Microbiology with a focus on Phycology from Tanta University in October 2005. Her master’s research delved into biomass production of unicellular green algae under various growth conditions. Her academic journey began with a Bachelor of Science degree in Biology, Botany, and Microbiology, which she completed with distinction, earning a grade of “Very Good” from Tanta University in June 1999. Throughout her academic career, she has demonstrated a keen interest and dedication to the field of Microbiology, particularly in the study of algae and their applications in various domains.

🌐 Profile Links:

Experience:

She has been serving as an Assistant Professor at the National Institute of Oceanography and Fisheries (NIOF) in Alexandria since March 2019, where she contributes her expertise to various research projects and academic initiatives. Prior to this role, she worked as a Researcher at NIOF from June 2013 to 2019, gaining valuable experience in marine science and research methodologies. Beginning her career in academia, she served as an Assistant Researcher at the National Institute of Oceanography and Fisheries in September 2012. Her academic journey started earlier as a Lecturer of Botany and Microbiology, specializing in Phycology, at both the Faculty of Science and Faculty of Education at Kafr El-Sheekh University from January 2011 to June 2013. Before joining NIOF, she also held positions as an Assistant Researcher in Botany and Microbiology at Tanta University and contributed to teaching practical courses in the Botany Department from 2000 to 2005. Through her diverse experiences and dedication to marine science, she continues to make significant contributions to the field.

Publications:

  1. Chemodiversity and bioactivity assessment of phlorotannins from some Phaeophyta species from the Red Sea Published By : 2023
  2. Morpho-anatomical, and chemical characterization of some calcareous Mediterranean red algae species. Published By : 2023
  3. Evaluation of the response of phytoplankton communities to heavy metal stresses using multi-statistical approach, Alexandria coast, Egypt. International Journal of Environmental Science and Technology. Published By : 2023
  4. Water quality indices as tools for assessment of the Eastern Harbor’s water status (Alexandria, Egypt) Published By : 2023
  5. Physico-chemodiversity variation betweenthe most common calcareous red seaweed, Eastern Harbor, Alexandria, Egypt. Published By : 2023
  6. Probiotics and algal functional food Published By : 2022
  7. Weekly Fluctuation in Phytoplankton Macromolecular Composition in Response to Environmental Changes in the Eastern Harbour, Alexandria (Egypt). Published By : 2022
  8. Phytochemical variation, antioxidant and antidiabetic capacity of extracts of common brown seaweeds from the Red Sea, Egypt. Egyptian Journal of Aquatic Biology & Fisheries. Egyptian Journal of Aquatic Biology & Fisheries. Published By : 2022
  9. Chemical characterization and biological activities of ulvan extracted from Ulva fasciata (Chlorophyta). Rendiconti Lincei. Scienze Fisiche e Naturali. Published By : 2022
  10. Antioxidant and Antiviral Activity of Sulfated Polysaccharides Derived from Two Sargassum Species of Red Sea Egypt  Published By : 2022

 

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Posted on by ScienceFather

Adnan Amin | Customer Analytics, Machine Learning, Churn Prediction | Member

Dr Adnan Amin Institute of Management Sciences Peshawar, Pakistan

Adnan Amin earned his M.Sc. in Computer Science from the University of Peshawar in 2008. He received his MS-CS degree (highest 1st class honors with distinction) and a Ph.D. degree (with Scholastic Honours) in data mining and machine learning from the Institute of Management Sciences (IMSciences) Peshawar, Pakistan, in 2015 and 2023, respectively. In November 2015, he joined IMSciences as a lecturer at the Center for Excellence in Information Technology. He is the lead of IM|DigiSol and the faculty adviser for the Computing and Innovation Society (IMCIS) at IMSciences. Before, he worked as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, which was connected to the University of Jyvaskyla in Finland. This was part of a World Bank-funded project for Maxwell Stamp PLC, London (Project Code: P102573). Dr. Adnan’s research and innovation interests are industry-driven and cross-disciplinary. He focuses on developing and commercializing digital solutions and data mining/machine learning research innovations for a variety of industries, such as education, telecommunications, and healthcare. He has completed nearly 8 research projects in collaboration with international universities. He has served as the track chair of the WorldCist’21 workshop (LCBUDAMLT), the session chair of the ICITA’22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATA’23. He has (co) authored 29+ publications, including 16 journal articles, 11 conferences, and 2 book chapters in Springer, and obtained nearly 1000 citations with an h-index score of 14 and an i-index score of 16.

Education:

He completed his Ph.D. in Computer Science with a specialization in Data Mining & Machine Learning from the Center for Excellence in IT at the Institute of Management Sciences, Peshawar, Pakistan, in March 2023. His research focused on developing an adaptive learning approach for customer churn prediction using naïve Bayes. Prior to his Ph.D., he earned his MS in Computer Science with the highest 1st class honors and distinction from the same institution in May 2015, where he conducted research on a similar topic. He also holds an M.Sc. in Computer Science from the University of Peshawar, which he completed with a Grade of A+ in March 2008.

🌐 Profile Links:

Experience:

He has been serving as a lecturer at the Institute of Management Sciences in Peshawar, Pakistan, since November 2015. In this role, he teaches both graduate and undergraduate students and leads IM DigiSol, the institute’s in-house software house. Additionally, he holds the position of Web & Database Administrator (BPS-17) at the Directorate of Information Technology, Government of KP, where he spearheads the computerization efforts of the Special Branch Police Department and Counter Terrorism Department. Prior to this, he worked as an I.T/ERP Trainer at Rehman Medical Institute & Hospital in Peshawar, Pakistan, from 2012. He also served as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, Afghanistan, from 2009 to 2011, as part of a World Bank-funded project implemented through Maxwell Stamp PLC, London. In this capacity, he provided teaching support to undergraduate students.

Publications:

  1. Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study Cited By : 294, Published By : 2016
  2. Customer churn prediction in the telecommunication sector using a rough set approach Cited By : 258, Published By : 2017
  3. Customer churn prediction in telecommunication industry using data certainty Cited By : 232, Published By : 2018
  4. Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods Cited By : 88, Published By : 2019
  5. Churn prediction in telecommunication industry using rough set approach Cited By : 51, Published By : 2015
  6. Customer churn prediction in telecommunication industry: with and without counter-example Cited By : 40, Published By : 2014
  7. Just-in-time customer churn prediction in the telecommunication sector Cited By : 39, Published By : 2020
  8. Just-in-time customer churn prediction: With and without data transformation Cited By : 30, Published By : 2018
  9. A comparison of two oversampling techniques (smote vs mtdf) for handling class imbalance problem: A case study of customer churn prediction Cited By : 29, Published By : 2015
  10. Compromised user credentials detection in a digital enterprise using behavioral analytics Cited By : 27, Published By : 2019

 

Mehtab Afzal | Information Security | Member

Posted on by ScienceFather

Mehtab Afzal | Information Security | Member

Assoc Prof Dr Mehtab Afzal University of Lahore – Defence Road Campus: The University of Lahore – New Campus, Pakistan

Dr. Mehtab Afzal, received the M.S. degree in Computer Science from COMSATS University Islamabad, Abottabad campus, Pakistan, in 2009 and the Ph.D. degree from Southwest Jiotong University Chengdu, Sichuan, China in 2016. He was a Research Associate in the Department of Computer Science and IT, COMSATS University Islamabad, Abottabad campus, Pakistan, from 2007 to 2009 and Lecturer with the Department of Computer Science, Gujrat University, Gujrat, Pakistan, from 2009 to 2010. He is currently an Associate Professor with the Department of Computer Science, The University of Lahore, Lahore, Pakistan. He has authored several research papers in international journals/conferences, such as the Knowledge-based systems (Elsevier), Neurocomputing (Elsevier), International Journal of Communication Systems (Wiley), International Conference on Multiple Classifiers Systems (Springer), etc. He also published couple of books with Lambert Academic Publishing, Germany. He has been serving as a Reviewer for several journals/conferences, including Multimedia Systems (Springer), Computers and Electrical Engineering (Elsevier), Knowledge-based Systems (Elsevier), etc. He is also a General Chair of the 4th International Conference on Advancements in Computational Sciences (ICACS’23). His research interests include multimedia information retrieval, computer vision and big data.

Education:

He completed his PhD in Computer Applied Technology at Southwest Jiaotong University in Chengdu, Sichuan, China, from 2010 to 2016. Prior to that, he pursued his Master of Science in Computer Science at COMSATS University Islamabad, Abbottabad Campus, Pakistan, from 2007 to 2009. His academic journey began with a Bachelor of Science in Computer Science from Allama Iqbal Open University in Islamabad, which he pursued from 2000 to 2004 at Paramount College of Computer Science in Wah Cantt. Throughout his educational pursuits, he has demonstrated a strong commitment to advancing his knowledge and expertise in the field of computer science.

🌐 Profile Links:

Experience:

He has held various academic positions throughout his career, starting as a Lecturer at Allama Iqbal Open University in Islamabad from 2005 to 2007, where he taught undergraduate courses. He then moved to the University of Gujrat in 2009-2010 as a Lecturer, continuing to teach undergraduate level courses. Subsequently, he joined the University of Lahore in 2016 as an Assistant Professor, where he taught courses and supervised thesis work at both undergraduate and postgraduate levels until 2022. Currently, he serves as an Associate Professor at the University of Lahore, where he holds the position of Conference General Chair for the ICACS23 conference and is a member of the Board of Studies.

Publications:

  1. Web Video Categorization using Category-Predictive Classifiers and Category-Specific Concept Classifiers Cited By : 7, Published By : 2016
  2. Web Video Classification with Visual and Contextual Semantics Cited By : 4, Published By : 2019
  3. Semi-supervised Evolutionary Ensembles for Web Video Categorization Cited By : 19, Published By : 2015
  4. A Base Level Ontology for Disaster Management Published By : 2017
  5. Detection of Imposter and Tampered Segments in Audio Recording using as Intelligent System Cited By : 2, Published By : 2021 
  6. GA-IRACE: Genetic Algorithm-Based Improved Resource Aware Cost-Efficient Scheduler for Cloud Fog Computing Environment  Published By : 2022
  7. ROCA: Auto-ResolvingOverlapping and Conflicts in ACL Policies for SDN. Published By : 2021
  8. Energy-Efficient Collaboration-BasedContent Sharing Strategy inDevice-to-Device Communication. Published By : 2021
  9. Extraction of opinion targets using syntactic rules in Urdu text Published By : 2021
  10. A Weighted Spatially Constrained Finite Mixture Model for Image Segmentation Published By : 2021

Abdulbaghi Ghaderzadeh | Future analysis | Member

Posted on by ScienceFather

Abdulbaghi Ghaderzadeh | Future analysis | Member

Dr Abdulbaghi Ghaderzadeh Islamic AZAD University, sanandaj Branch, Iran

With a Ph.D. in Software Systems Engineering from the Islamic Azad University Science and Research Branch in Tehran, and a Master of Science in Information Technology Engineering from Iran University of Science and Technology, Tehran, he is an accomplished academic with a passion for computer science. His expertise extends to lecturing in computer science at various esteemed universities in Saudi Arabia, such as King Khalid University, Tabouk University, Najran University, Hael University, and Shaqra University. At Islamic Azad University, he has demonstrated his proficiency in teaching advanced topics including operating systems, distributed systems, database systems, and software engineering. His dedication to education and his depth of knowledge make him a valued asset in the field of computer science and engineering.

Education:

He holds a Ph.D. in Software Systems Engineering from the Islamic Azad University Science and Research Branch in Tehran, complemented by a Master of Science in Information Technology Engineering from Iran University of Science and Technology, Tehran, and a Bachelor of Science in Computer Science from the University of Tabriz, Tabriz. His academic journey is underscored by notable theses, including his Ph.D. thesis on “Management of Distributed System Performance based on Local Information,” his Master’s thesis on “Personalization of Search Engines as a Way to Improve Their Performance,” and his Bachelor’s thesis on “System File Security in Unix and Windows Operating Systems.” With several papers published in prestigious journals and conferences such as Telecommunication Systems, Journal of Network and Computer Applications, and Journal of Advances in Computer Research, he has contributed significantly to the field of software engineering and information technology.

🌐 Profile Links:

Experience:

He has served as a Lecturer of Computer Science across multiple esteemed universities in Saudi Arabia, namely King Khalid University, Tabouk University, Najran University, Hael University, and Shaqra University. His professional background extends to designing and implementing software solutions for diverse organizations, ranging from container systems for shipbuilding to educational portals for universities. With extensive teaching tenure at Islamic Azad University, he has delivered courses covering advanced topics such as operating systems, distributed systems, database systems, and software engineering. Furthermore, his teaching portfolio includes instructing computer literacy and programming tailored for medical and laboratory sciences at Kurdistan University of Medical Sciences.

Honors and Awards:

Received awards for designing educational portals and supervising student teams, Abdulbaghi Ghaderzadeh has been recognized for contributions to student olympiads and academic festivals. Overall, he possesses a robust academic background and extensive experience in teaching, research, and software engineering. His significant contributions to the field are evident through his publications, teaching endeavors, and practical projects.

Publications:

  1. A fuzzy approach for optimal placement of IoT applications in fog-cloud computing Cited By : 23, Published By : 2022
  2. ReDePoly: reducing delays in multi-channel P2P live streaming systems using distributed intelligence  Cited By : 10, Published By : 2018
  3. Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments Cited By : 9, Published By : 2021
  4. A Multi-Objective online streaming Multi-Label feature selection using mutual information Cited By : 8, Published By : 2023
  5. Infred: intelligent free rider detection in collaborative distributed systems Cited By : 6, Published By : 2017
  6. A novel hybrid medical data compression using huffman coding and LZW in IoT Cited By : 5, Published By : 2022
  7. Improving Ranking Persian Subjects in Search Engine Using Fuzzy Inference System Cited By : 4, Published By : 2013
  8. HetEng: An Improved Distributed Energy Efficient Clustering Scheme for Heterogeneous IoT Networks Cited By : 3, Published By : 2021
  9. Offering a Demand-Based Charging Method Using the GBO Algorithm and Fuzzy Logic in the WRSN for Wireless Power Transfer by UAV Cited By : 2, Published By : 2023
  10. DisTriB: Distributed trust management model based on gossip learning and Bayesian networks in collaborative computing systems Cited By : 2, Published By : 2016

 

 

Shaeela Ayesha | Machine Learning | Member

Posted on by ScienceFather

Shaeela Ayesha | Machine Learning | Member

Shaeela Ayesha Government College University Faisalabad, Pakistan

Dr. Shaeela Ayesha has passed her M.Sc and MS Computer Science from University of Agriculture, Faisalabad. She completed her PHD Computer Science from Government College University, Faisalabad. She has several publications in different journals. She also published two book chapters with renowned publishers. Based on Scopus Preview two of her best from publications have been nominated for this event. At present, she is working as a reviewer with many well reputed high impact factor journals. Her research interests include: Machine Learning, Pattern Recognition, Big Data Analytics, Data and Text Mining, Data and Information Fusion, and Health Informatics.

Education:

She completed her early education with distinction, graduating from the Metric Arts Group in Faisalabad Board in 2001. Continuing her academic journey, she pursued intermediate studies in Economics, Physical Education, and Arabic, achieving further excellence from the Faisalabad Board in 2003. Subsequently, she obtained her Bachelor’s degree in Economics, Computer Science, and Arabic (Optional) from the University of Punjab, Lahore, in 2005. Building upon her undergraduate studies, she earned a Master of Science in Computer Science (CS) from the University of Agriculture, Faisalabad, in 2007, specializing in Database Management System. Further advancing her expertise, she completed her M.S. in Computer Science with a specialization in Database Management System from the same university in 2010. Undeterred in her pursuit of knowledge, she attained her Ph.D. in Computer Science from Govt. College University, Faisalabad, graduating with top honors in 2022. Throughout her academic journey, she has consistently demonstrated dedication and excellence in her field of study.

🌐 Profile Links:

Experience:

She served as a Lecturer in Computer Science at Government College (W) Kharkhan Bazzar Faisalabad from September 15, 2007, to April 15, 2008. Since September 12, 2009, she has been working as an SST (Secondary School Teacher) in Computer Science at Government High School 103/RB, Faisalabad, continuing her dedication to education and fostering the learning of computer science among students.

Awards and Honors:

She was awarded a laptop through the Shahbaz Sharif Youth Initiative Program, a commendable recognition of her achievements and contributions. This program, initiated by Shahbaz Sharif, aims to empower the youth by providing them with essential tools and resources to excel in their academic and professional endeavors. The laptop award serves as a testament to her hard work, dedication, and potential, acknowledging her as a promising individual deserving of support and encouragement. With this laptop, she is equipped to further her education, pursue her goals, and make meaningful contributions to society. It reflects her commitment to personal and academic growth, as well as her determination to utilize technology for positive impact. This recognition underscores her value as a motivated and capable individual, poised to make a difference in her community and beyond.

Publications:

  1. Performance Enhancement of Predictive Analytics for Health Informatics Using Dimensionality Reduction Techniques and Fusion Frameworks Published By : 2021
  2. Overview and comparative study of dimensionality reduction techniques for high dimensional data Published By : 2021
  3. Text mining: techniques, applications and issues  Published By : 2021
  4. A multi-agent framework for data extraction, transformation and loading in data warehouse Published By : 2016
  5. Impact and Usage of Internet in Educational Community in Pakistan  Published By : 2010
  6. Data mining model for higher education system Published By : 2010

 

Suhad Abdallah | Statistics | Women Researcher Award

Posted on by ScienceFather

Suhad Abdallah | Statistics | Women Researcher Award

Assist Prof Dr Suhad Abdallah King Khalid University, Saudi Arabia

With a Ph.D. earned in 2016 from Omdurman Islamic University Institute for Research and Studies of the Islamic World, specializing in Statistics with an excellent grade, she has demonstrated a strong academic foundation. Currently affiliated with King Khalid University, she has been involved in quantitative research methods, particularly focusing on applied statistics in media and communication during her tenure at Tabouk University from 1435 to 1436. Her dedication to statistical research underscores her commitment to contributing to the advancement of knowledge in her field.

Education:

She completed her Ph.D. in 2016 at Omdurman Islamic University Institute for Research and Studies of the Islamic World, specializing in Statistics with an excellent grade. Prior to that, she earned a Master’s degree in applied statistics from Nile Valley University – Faculty of Graduate Studies in 2011. Her academic journey began with a Bachelor’s degree in Mathematics/Physics from Nile Valley University, Faculty of Science and Education, in 2004. With a solid foundation in mathematics and statistics, she is dedicated to advancing knowledge in her field through rigorous research and academic pursuits.

🌐 Profile Links:

Experience:

She has been actively engaged in teaching roles across various Saudi universities. From 1437 until the present, she has been contributing her expertise to King Khalid University. Prior to that, she taught at Tabouk University from 1435 to 1436, Najran University from 1434 to 1435, Hael University from 1433 to 1434, and Shaqra University from 1432 to 1433. Her extensive experience in academia demonstrates her commitment to education and her versatility in adapting to different academic environments.

Publications:

  1. Biophotonic sensor for swift detection of malignant brain tissues by using nanocomposite YBa2Cu3O7/dielectric material as a 1D defective photonic crystal Published By : 2023

  2. MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect Published By : 2023

  3. Unravelling the conductivity behaviour of thermally stable Li2O– Bi2O3–B2O3–P2O5 glasses embedded with V2O5  Published By : 2023

  4. Enhanced humidity sensing stability of Dy3+-doped Mg-Rb ferrites for room temperature operatable humidity sensor applications Published By : 2023

  5. First-principles calculations to investigate structural, electronic and magnetic anisotropy energy of ZnFe2O4 spinel ferrite for spintronics applications Published By : 2023

  6. NLO and white light emission in AuNPs reinforced Li2O–Bi2O3–B2O3–P2O5 glasses: Role of surface plasmonic resonance AuNPs Published By : 2023

  7. On new diverse variety analytical optical soliton solutions to the perturbed nonlinear Schrödinger equation Published By : 2023

 

Mahjabin Chowdhury | Game-Based Learning | Best Researcher Award

Posted on by ScienceFather

Mahjabin Chowdhury | Game-Based Learning | Best Researcher Award

Mahjabin Chowdhury Texas A&M University, United States

She earned her degree in Curriculum and Instruction with an English as a Second Language (ESL) Emphasis from Texas A&M University (TAMU) under the guidance of her advisor, Dr. Li-Jen Kuo, along with committee members Dr. Zohreh Eslami, Dr. Radhika Viruru, and Dr. Wen Luo. Graduating in May 2022 with an impressive GPA of 3.94, she also obtained certification in Advanced Research Methods (ARM) from Texas A&M University. Additionally, she holds a Teaching Certification in Early Childhood Education (Pre-K-3) from Louisiana and has completed the program “Teaching Struggling Readers Around the World (K-12)” through World Learning. Her academic journey reflects a commitment to education, language instruction, and research methodologies.

Education:

She is a highly accomplished individual with a diverse and extensive academic background. Having completed her PhD in Curriculum and Instruction with an English as a Second Language (ESL) Emphasis at Texas A&M University (TAMU), she worked under the guidance of Dr. Li-Jen Kuo, with committee members Dr. Zohreh Eslami, Dr. Radhika Viruru, and Dr. Wen Luo. Graduating with an outstanding GPA of 3.94 in May 2022, she continued her educational journey with a Master of Arts in Applied Linguistics & English Language Teaching (ELT) from the University of Dhaka, Bangladesh, in 2012. Prior to that, she earned her Bachelor of Arts in English Literature and Language from the University of Dhaka in 2011. Her commitment to education is further demonstrated by her Master of Arts in Teaching (MAT) in Early Childhood Education (Pre-K -3) from Louisiana Tech University, where she achieved a remarkable GPA of 3.89 from Fall 2014 to Fall 2016. Additionally, she holds the DELF-B1 (Diplôme D’etudes En Langue Française-B1, Diploma in French Language – B1) from Alliance Française De Dacca, Dhaka, Bangladesh, obtained in 2010. Her rich academic journey showcases a dedication to excellence in language instruction, curriculum development, and applied linguistics.

🌐 Profile Links:

Experience:

She currently serves as a Postdoctoral Research Associate at the Center for Teaching Excellence (CTE) at Texas A&M University (TAMU) since Spring 2022, working under the supervision of Dr. Debra Fowler. In her role, she leads and facilitates program redesign initiatives across the campus, providing valuable support to faculty members in designing, conducting, and collaborating on the scholarship of Teaching and Learning (SoTL) research projects. Her responsibilities also include planning, arranging, and conducting faculty development workshops, engaging in grant writing, mentoring graduate and undergraduate students, and disseminating research findings through conference presentations and journal publications. Her contributions to teaching excellence and scholarly research showcase her dedication to advancing education and faculty development.

Honors and Awards:

She is a highly accomplished individual with a remarkable track record of achievements and recognitions. During her academic journey at Texas A&M University (TAMU), she received the Best Presentation award at I-Week 2019, organized by the International Student Association, as well as another Best Presentation accolade at Melting Pot-2019, hosted by the Indian Graduate Student Association. Her dedication to academic excellence earned her the prestigious Medal of Distinction for Academic Achievement from the Phi Beta Delta Honor Society for International Scholars in 2017. Notably, she served as a Clinical Residency Fellow at the College of Education, Louisiana Tech University, during 2015-2016. Her commitment to research is evident through the Galloway Foundation Research Grant she secured for the project “Meeting Faculty Where They Are” for 2022-2023, amounting to $40,000. Additionally, she received various scholarships and travel awards, demonstrating her passion for continuous learning and engagement in international forums. As a nominee for Outstanding Graduate Teaching Assistant, she exemplifies excellence in both scholarship and pedagogy, leaving an indelible mark on the academic landscape.

Publications:

  1. Graduate Students’ Perceptions of Translanguaging Cited By : 62, Published By : 2019
  2. In Search of Confianza: A Qualitative Analysis of Salvadoran Parents’ Experiences in US Urban Schools Cited By : 6, Published By : 2020
  3. Graduate Students’ Perceptions of Translanguaging. English Teaching and Learning, 43 (1), 85–103 Cited By : 5, Published By : 2019
  4. Digital Game-based Learning Cited By : 1, Published By : 2021
  5. Well-Managed Classroom with Effective Use of Technology in Early Childhood Education Cited By : 1, Published By : 2014
  6. Digital Game-Based Language Learning for Vocabulary Development  Published By : 2024
  7. Cultivating Computational Thinking through Game-Based Learning  Published By : 2023
  8. Complex Systems Overview Published By : 2023
  9. Collaborative vs Cooperative Learning Overview  Published By : 2023
  10. The Effects of Computer-mediated Communication (CMC) on L2 Writing Achievement: A Meta-analysis of the Research Published By : 2023

 

Alaa Sheta | Artificial Intelligence | Best Researcher Award

Posted on by ScienceFather

Alaa Sheta | Artificial Intelligence | Best Researcher Award

Prof Dr Alaa Sheta Southern Connecticut State University, United States

He earned his Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, completing his studies from August 1994 to August 1997. His dissertation, titled “Identification and Control of Dynamical Systems Using Genetic Algorithms,” reflects his expertise in artificial intelligence, machine learning, and computational intelligence. During his academic journey, he worked under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. With a diverse range of research interests, his contributions span across data science, digital image processing, data mining, software engineering, software reliability modeling, software cost estimation, identification and control, autonomous systems, robotics, information systems, computer vision, and computer architecture. His comprehensive knowledge and research in these domains showcase his dedication to advancing technology and understanding complex systems.

Education:

He holds a Ph.D. from the School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, USA, where he conducted groundbreaking research on “Identification and Control of Dynamical Systems Using Genetic Algorithms” from August 1994 to August 1997, under the co-direction of Prof. Kenneth DeJong and Prof. Ophir Frieder. Prior to his doctoral studies, he earned an M.Sc. from the Electronics and Communication Engineering Department at Cairo University, Cairo, Egypt, specializing in “Robust Controller Design of Large Scale Uncertain Dynamical Systems” from August 1989 to August 1994, under the guidance of Prof. Mohamed F. Hassan. His academic journey began with a B.E. from the same department at Cairo University, covering the period from August 1983 to July 1988. His educational background reflects a deep commitment to advancing knowledge in the fields of information technology, engineering, and control systems.

🌐 Profile Links:

Experience:

He currently holds the position of Tenured Professor in the Computer Science Department within the College of Arts and Sciences at Southern Connecticut State University since the fall of 2022. Prior to this, he served as an Associate Professor in the same department from the fall of 2019 to the fall of 2021. His academic journey includes roles as an Assistant Professor and later as a Professional Assistant Professor in the Department of Computing Science at Texas A&M University-Corpus Christi, where he contributed from 2017 to the summer of 2019 and from 2016 to 2017, respectively. Before joining Texas A&M, he served as a Professor and Department Chair in the Computers and Systems Department at the Electronics Research Institute (ERI) under the Ministry of Scientific Research in Cairo, Egypt, from 2015 to 2016. His extensive experience and leadership roles underscore his commitment to advancing computer science education and research.

Honors and Awards:

He is a distinguished professional with a wealth of accomplishments in the field of technology and research. Holding the title of IEEE Senior Member since Fall 2021, he has made significant contributions to the realm of sleep apnea diagnosis, garnering attention for his innovative work. The Southern News featured his pioneering approach in an article titled “Sleep Apnea Diagnosis Simplified” on November 5, 2021, highlighting the impact of his research. His expertise extends to machine learning and AI-based applications for efficient sleep apnea diagnosis, as showcased in a YouTube interview on October 25, 2021, and an insightful session at the Future Technology Conference on November 26, 2019. Notably, he received the Best Paper Award at the 2nd International Conference Europe Middle East & North Africa Information Systems and Technologies (EMENA-ISTL2018) in Fez, Morocco, in October 2018. His accolades also include the Best Citation Prize from Taif University in 2013 and the Best Poster Award at the SGAI International Conference on Artificial Intelligence in Cambridge, UK, in December 2011. With a rich history as a visiting scientist at esteemed institutions such as Tennessee Technological University (TTU) and DeMontfort University, he continues to make groundbreaking contributions to the intersection of technology and healthcare.

Publications:

  1. A mobile robot path planning using genetic algorithm in static environment Cited By : 317, Published By : 2008
  2. Estimation of the COCOMO model parameters using genetic algorithms for NASA software projects Cited By : 205, Published By : 2006
  3. A comparison between regression, artificial neural networks and support vector machines for predicting stock market index Cited By : 180, Published By : 2015
  4. Time-series forecasting using GA-tuned radial basis functions Cited By : 143, Published By : 2001
  5. A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm Cited By : 137, Published By : 2021
  6. Image enhancement using particle swarm optimization Cited By : 107, Published By : 2007
  7. Prediction of software reliability: A comparison between regression and neural network non-parametric models Cited By : 104, Published By : 2001
  8. Business Intelligence and Performance Management – Theory, Systems and Industrial Applications Cited By : 90, Published By : 2013
  9. Development of software effort and schedule estimation models using soft computing techniques Cited By : 81, Published By : 2008
  10. Energy optimization in wireless sensor networks using a hybrid k-means PSO clustering algorithm Cited By : 80, Published By : 2016