Mr. Muhamamd Arslan Rauf | Software Engineering | Best Researcher Award

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Mr. Muhamamd Arslan Rauf | Software Engineering | Best Researcher Award

PhD Scholar at Software Engineering, University of Electronic Science and Technology of China

Mr. Muhammad Arslan Rauf is a Ph.D. scholar in the final year with a focus on Recommendation Systems, Zero-Shot Learning, and Deep Learning. He has a robust foundation in cutting-edge research methodologies and a passion for technological innovation. His 18 years of comprehensive education, culminating in a Master’s degree, have equipped him with deep analytical skills and a keen eye for detail. With experience in both research and teaching, he is adept at distilling complex concepts into understandable insights. He is eager to contribute his expertise to a dynamic team, driving forward advancements in computer science and fostering an environment of continuous learning and innovation.

Professional Profiles:

πŸ‘¨β€πŸŽ“ EDUCATION AND TRAINING:

πŸŽ“ Doctorate in Software Engineering (PhD)
University of Electronic Science and Technology of China
[10/09/2020 – Current]
Thesis: Zero-shot learning for Cold-strat Recommendation

πŸŽ“ Master of Science in Computer Science
National Textile University, Faisalabad, Pakistan
[28/10/2017 – 28/10/2019]
Thesis: Extraction of Strong and Weak regions of Cricket Batsmen through Text-commentary Analysis
Major: Machine Learning, NLP, Computer Vision

πŸŽ“ Bachelor of Science in Computer Science
Government College University, Faisalabad, Pakistan
[10/09/2013 – 14/09/2017]
Core Subjects: Algorithm, Database, OOP, Data Structure, Operating System, Automata

πŸ’Ό WORK EXPERIENCE

πŸ’» Lecturer (Computer Science)
Riphah International University, Faisalabad, Pakistan
[24/09/2019 – 31/03/2021]

πŸ—£οΈ LANGUAGE SKILLS

πŸ—£οΈ Urdu (Mother tongue)
Levels: A1 and A2: Basic user; B1 and B2: Independent user; C1 and C2: Proficient user

🌐 DIGITAL SKILLS

πŸ–₯️ Programming language: Python / C, C++, C#
πŸ“Š Microsoft Office (Microsoft)
🐍 Python libraries: NumPy, Pandas, Keras, Sci-Kit Learn, TensorFlow, Matplolib, Seaborn
πŸ—„οΈ Database: Oracle, MYSQL, SQL+, Access
πŸ“ Microsoft SQL and Oracle SQL
πŸ“š End Note
πŸ“‘ Overleaf & LaTeX
πŸ”§ VSCode, Visual Studio

Publications:

  1. Fabric weave pattern recognition and classification by machine learning
    • Authors: MA Rauf, M Jehanzeb, U Ullah, U Ali, M Kashif, M Abdullah
    • Conference: 2022 2nd international conference of smart systems and emerging technologies
    • Citations: 2
    • Year: 2022
  2. Content-Based Venue Recommender Approach for Publication
    • Authors: M Umair, S Jabbar, MA Rauf, M Rafiq, T Mahmood
    • Conference: International Conference on Engineering Software for Modern Challenges
    • Citations: 2
    • Year: 2021
  3. An Efficient Ensemble approach for Fake Reviews Detection
    • Authors: A Iqbal, MA Rauf, M Zubair, T Younis
    • Conference: 2023 3rd International Conference on Artificial Intelligence (ICAI)
    • Citations: 1
    • Year: 2023
  4. Extraction of Strong and Weak Regions of Cricket Batsman through Text-Commentary Analysis
    • Authors: MA Rauf, H Ahmad, CMN Faisal, S Ahmad, MA Habib
    • Conference: 2020 IEEE 23rd International Multitopic Conference (INMIC)
    • Citations: 1
    • Year: 2020
  5. BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation
    • Authors: MA Rauf, MMY Khalil, W Wang, Q Wang, MANU Ghani, J Hassan
    • Journal: Information Processing & Management
    • Citations: Not provided
    • Year: 2024
  6. Occupational radiation dose to workers in a cancer hospital.
    • Authors: MU Ghani, KU Khan, T Khan, A Bahadur, M Rauf
    • Journal: Pakistan Journal of Nuclear Medicine
    • Citations: Not provided
    • Year: 2022
  7. An Effective Technique for Detecting Defecting Parts of Fabric in Digital Image
    • Authors: MA Rauf, M Abubakar, U Ullah, NU Haq
    • Conference: 2021 International Conference on Innovative Computing (ICIC)
    • Citations: Not provided
    • Year: 2021

 

 

 

Assoc Prof Dr. TomΓ‘s Mateo Sanguino | Mechatronics | Best Researcher Award

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Assoc Prof Dr. TomΓ‘s Mateo Sanguino | Mechatronics | Best Researcher Award

Profesor Titular de Universidad at Mechatronics, Universidad de Huelva, Spain

Dr. Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, and holds a Master’s Degree in University Teaching, along with a PhD in Systems Engineering and Automatics from UHU. He has been actively involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). He also contributed to a specific project at the Higher Council for Scientific Research (CSIC) in 2003/04. Dr. Sanguino was a member of the research group “Robotic and High Energy Astrophysics” (TIC-189) as part of the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently affiliated with the research group “Control and Robotics” (TEP192). Additionally, he founded the Spin-off company “OnuRobotics” between 2009 and 2012, which received awards from the Ministry of Innovation and Science (CICE) of the Andalusian Government and the “Creara” training plan (50K Companies).

Professional Profiles:

Education:

TomΓ‘s Mateo Sanguino holds a Ph.D. from the University of Huelva, which he obtained in 2010. Prior to his doctoral studies, he completed a Master’s in University Teaching at the University of Huelva in 2008. His academic journey began with a degree in Electronics Engineering from the University of Granada in 2001.

Research Projects:

V Jornadas ScienCity 2022 – Fomento de la Cultura CientΓ­fica, TecnolΓ³gica y de InnovaciΓ³n en Ciudades Inteligentes, Funding body: FECYT, Junta de AndalucΓ­a, Universidad de Huelva, CΓ‘tedra de InnovaciΓ³n Social de Aguas de Huelva, CΓ‘tedra de la Provincia. Date: 01/12/2021 – 30/06/2023. Principal investigator: T.J. Mateo Sanguino. Total amount: 14,000 €.Improving Road Safety Using Photoluminescent Signage and Fog Computing, Funding body: Junta de AndalucΓ­a – Programa de Ayudas a la I+D+i en el Ámbito del Plan Andaluz de InvestigaciΓ³n, Desarrollo e InnovaciΓ³n (PAIDI 2020). Participating entities: Universidad de Huelva, Universidad de Algarve (Portugal), Instituto PolitΓ©cnico de Beja (Portugal). Date: 30 months. Principal investigator: T.J. Mateo Sanguino. Total.

Patents:

Dr. TomΓ‘s Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, holds a Master’s Degree in University Teaching, and earned his Ph.D. in Systems Engineering and Automatics from the University of Huelva (UHU). He has been involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). In 2003/04, he was hired for a specific project or service at the Higher Council for Scientific Research (CSIC). Dr. Mateo Sanguino was part of the research group “Robotic and High Energy Astrophysics” (TIC-189) under the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at the UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently a member of the research group “Control and Robotics” (TEP192) at UHU. Additionally, he was a founder of a Spin-off called “OnuRobotics” between 2009 and 2012, which received two prizes: one from the Ministry of Innovation and Science (CICE) of the Andalusian Government and another from the “Creara” training plan for 50K Companies.

Professional Experience:

Dr. TomΓ‘s Mateo Sanguino has held various significant roles throughout his career. He is currently the Director at the Virtual Teaching Service at the University of Huelva, a position he has held since July 11, 2021. Prior to this, he served as the Deputy Director at the Department of Electronic Engineering, Computer Systems, and Automatics, starting from October 1, 2014. Dr. Mateo Sanguino has been an Instructor of the CISCO Certified Networking Association (CCNA) program since 2007, receiving honors as an Advanced Level Instructor of Excellence from the Cisco Networking Academy in 2013, and honors as an Instructor after 10 Years of Service in 2018.

Achievements:

In his academic and research career, Dr. Mateo Sanguino has also been a member of the Research Commission of the Strategic Plan 2012-2015 and served as the Vice-Rector for Research at the University of Huelva from September 30, 2011. He completed a postdoctoral stay at Γ‰cole Polytechnique FΓ©dΓ©rale de Lausanne (EPFL) in Lausanne, Switzerland, starting from June 1, 2011, with a duration of 3.5 months, focusing on the research theme of an augmented reality interface for a telepresence robot. Additionally, he received the CICE award granted by the Ministry of Innovation and Science of the Andalusian Government, totaling 3000 €, and enrollment in the ‘Creara’ entrepreneur program (Business 50 K), totaling 2000 €, in 2008.

Publications:

  1. Localization and broadband follow-up of the gravitational-wave transient GW150914
    • Authors: BP Abbott, R Abbott, TD Abbott, MR Abernathy, F Acernese, K Ackley, …
    • Journal: The Astrophysical Journal Letters
    • Volume: 826
    • Issue: 1
    • Pages: L13
    • Citations: 295
    • Year: 2016
  2. The burst observer and optical transient exploring system (BOOTES)
    • Authors: AJ Castro-Tirado, J SoldΓ‘n, M Bernas, P PΓ‘ta, T Rezek, R Hudec, …
    • Journal: Astronomy and Astrophysics Supplement Series
    • Volume: 138
    • Issue: 3
    • Pages: 583-585
    • Citations: 110
    • Year: 1999
  3. DiseΓ±o de laboratorios virtuales y/o remotos. Un caso prΓ‘ctico
    • Authors: JMA MΓ‘rquez, TJM Sanguino
    • Journal: Revista Iberoamericana de AutomΓ‘tica e InformΓ‘tica Industrial RIAI
    • Volume: 7
    • Issue: 1
    • Pages: 64-72
    • Citations: 88
    • Year: 2010
  4. GRB 050509b: the elusive optical/nIR/mm afterglow of a short-duration GRB
    • Authors: AJ Castro-Tirado, A de Ugarte Postigo, J Gorosabel, T Fathkullin, …
    • Journal: Astronomy and Astrophysics
    • Volume: 439
    • Issue: 2
    • Pages: 15-18
    • Citations: 77
    • Year: 2005
  5. Review on v2x, i2x, and p2x communications and their applications: a comprehensive analysis over time
    • Authors: JM Lozano Dominguez, TJ Mateo Sanguino
    • Journal: Sensors
    • Volume: 19
    • Issue: 12
    • Pages: 2756
    • Citations: 76
    • Year: 2019
  6. The development of the Spanish Fireball Network using a new all-sky CCD system
    • Authors: JM Trigo-RodrΓ­guez, AJ Castro-Tirado, J Llorca, J Fabregat, VJ MartΓ­nez, …
    • Journal: Earth, Moon, and Planets
    • Volume: 95
    • Issue: 1
    • Pages: 553-567
    • Citations: 68
    • Year: 2004
  7. 50 years of rovers for planetary exploration: A retrospective review for future directions
    • Author: TJ Mateo Sanguino
    • Journal: Robotics and Autonomous Systems
    • Volume: 94
    • Pages: 172-185
    • Citations: 65
    • Year: 2017
  8. Building the BOOTES world-wide Network of Robotic telescopes
    • Authors: AJ Castro-Tirado, M JelΓ­nek, J Gorosabel, P KubΓ‘nek, R Cunniffe, S Guziy, …
    • Conference: Astronomical Society of India Conference Series
    • Volume: 7
    • Pages: 313-320
    • Citations: 60
    • Year: 2012
  9. RTS2 β€” Remote Telescope System, 2nd Version
    • Authors: P KubΓ‘nek, M JelΓ­nek, M Nekola, M Topinka, J Ε trobl, R Hudec, …
    • Journal: AIP Conference Proceedings
    • Volume: 727
    • Issue: 1
    • Pages: 753-756
    • Citations: 60
    • Year: 2004
  10. Smart Host Microcontroller for Optimal Battery Charging in a Solar-Powered Robotic Vehicle
    • Authors: TJ Mateo Sanguino, JE Gonzalez Ramos
    • Journal: IEEE-ASME Transactions on Mechatronics
    • Volume: 18
    • Issue: 3
    • Pages: 1039-1049
    • Citations: 44
    • Year: 2013

 

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

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Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Associate Professor at Computer Science, NIT Sikkim, India

πŸ‘¨β€πŸŽ“He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

πŸ”¬ He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

πŸ† The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Pankaj Kumar Keserwani holds a Ph.D. in Information Security from NIT Sikkim, which was awarded in 2021. He also has a Master’s (MS-CLIS) from IIIT Allahabad, with a grade point of 8.06, awarded in 2009. Additionally, he completed a Master’s in Computer Applications (MCA) from UPTU Lucknow, with a percentage of 67.25%, awarded in 2006. His Bachelor’s degree (B.Sc.) is from Allahabad University, with a percentage of 51.8%, awarded in 2001. He completed his 12th/Higher Secondary education from U.P. Board, with a percentage of 51.8%, in 1997, and his 10th from U.P. Board, with a percentage of 59%, in 1995.

Pankaj Kumar Keserwani ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 212, Since 2018: 178
  • Citations: 212 (All), 178 (Since 2018)
  • h-index:Β  9 (All), 7 (Since 2018)
  • i-10index: 6 (All), 4 (Since 2018

These metrics showcase the impact of Keserwani ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Experience:

  1. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 23.06.2021 to Present (2 years, 1 month)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Regular
  2. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 28.12.2015 to 22.06.2021 (5 years, 6 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Contract
  3. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 01.02.2012 to 27.12.2015 (3 years, 11 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Adhoc

Academic Responsibilities:

Dr. Pankaj Kumar Keserwani has organized and participated in several workshops and Faculty Development Programs (FDPs). He served as the Coordinator for a one-week FDP on Cloud Forensics: Techniques, Challenges, and Research Directions from 18/10/2021 to 22/10/2021. Additionally, he acted as the Co-Coordinator for a two-week FDP on Computer Vision and Image Processing using Deep Learning: Research Issues and Applications from 19/12/2022 to 30/12/2022. He also served as the Convener for a four-day workshop on Data Mining and Business Analytics from 16/11/2016 to 19/11/2016.

Publications:

“A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model”

Authors: PK Keserwani, MC Govil, ES Pilli, P Govil

Citations: 68

Year: 2021

Journal: Journal of Reliable Intelligent Environments

“An efficient web mining algorithm for Web Log analysis: E-Web Miner”

Authors: MP Yadav, PK Keserwani, SG Samaddar

Citations: 22

Year: 2012

Conference: 2012 1st International Conference on Recent Advances in Information …

“Air Quality Index prediction using an effective hybrid deep learning model”

Authors: N Sarkar, R Gupta, PK Keserwani, MC Govil

Citations: 21

Year: 2022

Journal: Environmental Pollution

“Information security: Components and techniques”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 21

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“Research issues and challenges of wireless networks”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 12

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“An effective NIDS framework based on a comprehensive survey of feature optimization and classification techniques”

Authors: PK Keserwani, MC Govil, ES Pilli

Citations: 11

Year: 2023

Journal: Neural Computing and Applications

“An optimal intrusion detection system using GWO-CSA-DSAE model”

Authors: PK Keserwani, MC Govil, E S. Pilli

Citations: 9

Year: 2021

Journal: Cyber-Physical Systems

“Digital forensic enabled image authentication using least significant bit (lsb) with tamper localization based hash function”

Authors: UK Das, SG Samaddar, PK Keserwani

Citations: 9

Year: 2018

Book: Intelligent Communication and Computational Technologies:

Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

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Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

Associate Professor at Electrical EngineeringΒ , Princess Nourah bint Abdulrahman University , Saudi Arabia

πŸ‘¨β€πŸŽ“She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

πŸ”¬ She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

πŸ† The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

  1. Ph.D. in Electrical Engineering (2011) – Department of Electrical Engineering, Jamia Millia Islamia (A Central University) in New Delhi, India. Her thesis was titled “Design & Development of Computer-based Biophysical Model for Diagnosing Pulmonary Edema.”
  2. Master of Technology in Electrical Engineering with specialization in Instrumentation & Control (2003) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India. Her dissertation focused on the “Design of Sub-optimal Controller for Linear Time Invariant System incorporating Sensitivity Considerations.”
  3. Bachelor of Engineering in Electrical Engineering (1998) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India.

Shabana Urooj ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 2123, Since 2018: 1488
  • Citations: 2123 (All), 1488 (Since 2018)
  • h-index: 24 (All), 20 (Since 2018)
  • i10-index: 64 (All), 44 (Since 2018)

These metrics showcase the impact of Urooj ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Research Area(s) & Interests:

Computer-Based Diagnosis of Chronic Diseases and Bio-Medical Instrumentation: Dr. Urooj’s expertise includes the development of computer-based models for diagnosing chronic diseases, particularly in the field of bio-medical instrumentation. Her work likely involves the use of computational tools and techniques to analyze medical data and aid in the diagnosis and monitoring of chronic conditions. Optimization & Control, WSN, BAN: Dr. Urooj’s research interests extend to optimization and control systems, as well as Wireless Sensor Networks (WSN) and Body Area Networks (BAN). This expertise suggests involvement in designing and implementing control algorithms, optimizing system performance, and working with wireless communication technologies in healthcare applications. Material Research, Nanomaterials for Engineering Applications: Dr. Urooj is also engaged in material research, particularly in the area of nanomaterials for engineering applications. Her work likely involves the synthesis, characterization, and application of nanomaterials in various engineering fields, such as electronics, materials science, or biomedical engineering.

Teaching Experience:

Associate Professor at College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia (since 15th September 2019): In her current role, Dr. Urooj serves as an Associate Professor, likely contributing to the academic and research activities of the College of Engineering at Princess Nourah bint Abdulrahman University. Assistant and Associate Professor at the Department of Electrical Engineering, Gautam Buddha University, Gr. Noida, UP, India (6th July 2011 to 13th Sep 2019): Dr. Urooj previously worked as both an Assistant and Associate Professor at Gautam Buddha University. She also served as the Head of the Department of Electrical Engineering from 1st August 2018 to September 2019, demonstrating leadership and administrative skills in addition to her teaching and research responsibilities. Associate Professor at the Department of Electronics & Instrumentation Engineering, Galgotias College of Engineering and Technology, Gr. Noida, UP, India (31st July 2009 to 5th July 2011): Prior to her tenure at Gautam Buddha University, Dr. Urooj worked as an Associate Professor at Galgotias College of Engineering and Technology, where she likely contributed to the academic and research activities of the Department of Electronics & Instrumentation Engineering.

MEMBESRSHIP COUNCILS/COMMITTEES:

β€’ Director: College of Engineering Club- 2022-23, 2023-24
β€’ Member of M. Sc Program in collaboration with Essex University UK.
β€’ Member of B. S IoT in collaboration with College of Computer Science.
β€’ General Co-Chair CCAML2024 Committee
β€’ Track Chair (Special Session) IEEE APSCON 2024

Publications:

Fuzzy clustering algorithm for enhancing reliability and network lifetime of wireless sensor networks

  • Published in Energy in 2020 with 1150citations.

Entropy index in quantitative EEG measurement for diagnosis accuracy

  • Published in Energy in 2013 with 83 citations.

A robust polynomial filtering framework for mammographic image enhancement from biomedical sensors

  • Published in Energy in 2013 with 62 citations.

A composite wavelets and morphology approach for ECG noise filtering

  • Published in Energy in 2013 with 56 citations.

Strategies, current status, problems of energy and perspectives of Yemen’s renewable energy solutions

  • Published in Energy in 2018 with 53 citations.

An improved CAD system for breast cancer diagnosis based on generalized pseudo-Zernike moment and Ada-DEWNN classifier

  • Published in Energy in 2016 with 52 citations.

Non-linear polynomial filters for edge enhancement of mammogram lesions

  • Published in Energy in 2016 with 49 citations.

Human visual system based unsharp masking for enhancement of mammographic images

  • Published in Energy in 2017 with 48 citations.

 

Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

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Mrs. Vineetha K.V. | Computer Science | Best Researcher Award

Assistant Professor(Sr. Gr.) at Computer Science, Amrita Vishwa Vidyapeetham, Bangalore Campus, India

πŸ‘¨β€πŸŽ“She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

πŸ”¬ She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

πŸ† The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Work Experience:

Currently working as Assistant Professor (Sr. Gr.) at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India, since January 2007. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2006 to 2007. Worked as a Guest Lecturer at Govt. Polytechnic College, Wayanad, Kerala, India, from April 2005 to 2006. Worked as an Assistant Professor at CIT Gubbi, Karnataka, India, from April 2005 to 2006. Worked as a Back Support Engineer at Reliance Infocom, Bangalore, Karnataka, India, from April 2004 to 2005.

Professional Competency:

The user possesses professional competencies including excellent communication, presentation, and interpersonal skills. They also have an aptitude for quality and creative judgment, as well as a flair for fast learning and strong analytical skills.

Areas of interest:

The user’s areas of interest, according to priority, are Computer Science and Engineering, Embedded Systems, Parallel Computing, Artificial Neural Networks, and FPGA.

Academic Profile:

Pursuing a PhD in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Completed an M.Tech in Embedded Systems from Amrita Vishwa Vidyapeetham, Bangalore Campus, Karnataka, India. Holds a Bachelor of Engineering in Computer Science and Engineering from Bahubali College of Engineering, Shravanabelagola, Hassan, Karnataka, India. Completed Higher Secondary education from the Higher Secondary Board of Examination, Thariode, Kalpetta, Wayanad, Kerala, India. Completed Secondary Education (10th class) from GHSS Poothadi, Wayanad, Kerala, India.

Dr. Ali Jahedsaravani | Electrical Engineering | Best Scholar Award

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Dr. Ali Jahedsaravani : Leading Researcher in Electrical Engineering

Assistant Professor at Electrical Engineering, Khatam al Anbiya University, Iran

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

πŸ”¬ He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

πŸ† The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ph.D. in Automation and Control Engineering from the University Putra Malaysia, Malaysia, earned between 2011 and 2015, with a GPA of 3.75 on a scale of 4. MSc in Automation and Control Engineering at Islamic Azad University, Gonabad branch, Iran, completed between 2008 and 2011, with a GPA of 18.28 on a scale of 20. BSc in Electronic Engineering from Islamic Azad University, Iran, Birjand, completed between 2002 and 2007, with a GPA of 14.77 on a scale of 20.

Areas of Interest:

  1. Assistant Professor at the Faculty of Engineering, Khatam al-Anbiya University, from 2018 to the present.
  2. Lecturer at the Faculty of Engineering, Khatam al-Anbiya University, from 2016 to 2018.

Publications:

Measurement of bubble size and froth velocity using convolutional neural networks

Prediction of Froth Flotation Performance Using Convolutional Neural

Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning

Flotation froth image classification using convolutional neural networks

Machine vision based monitoring and analysis of a coal column flotation circuit

An image segmentation algorithm for measurement of flotation froth bubble size distributions

Development of a machine vision system for real-time monitoring and control of batch flotation process

Application of Image Processing and Adaptive Neuro-fuzzy System for Estimation of the Metallurgical Parameters of a Flotation Process