Preaload Image
Screenshot 2021-08-24 at 02.00.20

Dr. Eslam Amer

Lecturer / Egypt

Eslam Amer, Ph.D.

” You are never too old to set a new goal or dream a new dream ”

My Updates

Currently, I am appling NLP along with ML and DL to perform : •Malware Detection/Prediction.
•Fake news Detection.
•Conversational agents.

Personal Data

􏰀 16 – Alamal St. Toukh – Alqalubia – Egypt 􏰂 (+2) 01006565008
􏰁 eslam.a.amer@gmail.com

Work Experience

2018-current

2019-December 2020

2017- 2018

July 2014-January 2015

2012-2017

2010-2012

2009-2010

2006-2009

Research Interests

Associate professor – Computer Science Department Misr International University – Faculty of Computer Science

Postdoctoral Research Fellow – Faculty of Electrical Engineering and Computer Science
VSB – Technical University of Ostrava – Czech Republic

Associate professor – Computer Science Department Benha University – Faculty of Computers and Informatics

Postdoctoral Research Fellow – Faculty of Engineering FEUP – Porto University – Portugal

Assistant professor – Computer Science Department Benha University – Faculty of Computers and Informatics

Lecturer Assistant – Computer Science Department Benha University – Faculty of Computers and Informatics

Lecturer Assistant – Faculty of Computer Science Modern Science and Arts University (MSA University)

Lecturer Assistant – Computer Science Department Minia University – Faculty of Computers and Informatics

• Natural Language Processing • Information Retrieval • Machine & Deep Learning • Web Mining • Semantic Web

Education

2008 – 2012

Ph.D. in Computer Science , Helwan University, Cairo, Egypt
Dissertation Title: “Enhancing efficiency of web search engines via semantic Web”

Dissertation Description: Introducing a Hybrid Semantic Web Search (HSWS) technique. HSWS automatically generate ontology representation of weighted concepts for any topic. The resultant ontology is used to re-rank results returned by a search engine for such topic. HSWS is used to re-rank results returned by different search engines like GOOGLE, YAHOO, and ALTAVISTA for different queries. Different broad and specific topic queries which are related to different domains were used to assess HSWS’s performance. On average HSWS results showed a con- vergence to experts’ judgment on re-ordering Web pages based on their relevance to initial search query compared to other Web search engines.

MS.c in Computer Science , Helwan University, Cairo, Egypt Thesis Title: “Development in Web Search Engine Optimization ”

Thesis Description: Introducing Swarm -HITS (S-HITS), a new technique for ex- tracting related hubs and authorities based on swarm intelligence. Experiments were carried out on the Base Set obtained by HITS methodology. A variation of ”Ant-Cycle” algorithm is used to accommodate the changing environment of Web. The proposed technique composed of two steps, initially; it finds a collection of related hubs, then, using such collection to find authorities. The new technique yields more quality and relevant results compared to HITS algorithm. On average, this technique yields about seven out of ten relevant pages to the query topic, compared to HITS algorithm which yields on average four out of ten relevant pages

BS in Computer Science , Helwan University, Cairo, Egypt Grade: Very Good

2003 – 2005

1996 – 2000

Skills

Programming Skills Language Skills Soft Skills

• C# • JAVA • Python
• Arabic (Native) • English (Fluent) • German (Basic)

  • Detail orientated, professional, work independently, excellent oral and written communication skills, handle multiple tasks, and the ability to follow oral and written instructions.
  • Excellent communication skills with peers and any level of man- agement.
  • Good consulting, facilitating, and leadership skills; ability to lead or follow with equal ease. Excelled in team collaboration and solution brainstorming.

Scholarships and Certificates

April 2019 – Present Postdoctoral Research Fellowship
Faculty of Electrical Engineering and Informatics – Technical Uni-

versity of Ostrava (VSB-TUO) – Czech republic

July 2014–January 2015:

July 2015:

November 22-26 2015 :

Role:

•Applying unconventional algorithms in cybersecurity •Applying machine learning/ deep learning to detect Fake news

Postdoctoral Research Fellowship

Faculty of Engineering – Porto University (FEUP) – Portugal

Role: Developing methods for Cross-Lingual Information Retrieval (English – Portuguese)

Google Scholarship
Attending Lisbon Machine Learning School (LxMLS 2015) Lisbon – Portugal (16-23 July -2015)

Description: The school covers a range of machine learning (ML) Topics, from theory to practice, which are important in solving natural language processing (NLP) problems that arise in the anal- ysis and usage of Web data.

Ibm BiGData Training Cairo – Egypt

Invited Talks/Conferences

  • IEEE International Mobile, Intelligent, and Ubiquitous Computing Conference (MI- UCC), 2021. Cairo, Egypt.
  • 20th Mendel Soft Computing, 2019, Brno , Czech Republic.
  • 7th Proceeding of International Conference on Software and Information Engineering(ICSIE 2018). Cairo, Egypt.
  • IEEE 8th Cairo International Biomedical Engineering Conference (CIBEC 2016), Octo-ber 2016. Cairo, Egypt.
  • 16th IEEE International conference of Information Integration and Reuse (IRI2015), 13-15 August 2015. San Francisco, USA.
  • 3rd International Conference on Management of Emergent Digital Ecosystems (MEDES’11), Nonember 2011. San Francisco, USA.
  • 2nd International Conference on Intelligent Computing and Information Systems (ICICIS proc.) March 2005. Cairo, Egypt.Publications

2021: Eslam Amer, Ivan Zelinka, Shaker El-Sappagh. ”A Multi-Perspective Malware Detection Approach Through Behavioral Fusion of API Call Sequence”. accepted and will appear in Computers & Security,2021.

Yaser Maher, Eman Saber, Abdelmgeid A. Ali, Eslam Amer. ”An Efficient Slime Mould Al- gorithm Combined with k-Nearest Neighbor for Medical Classification Tasks”. accepted and will appear in IEEE Access,2021.

El-Rashidy N, Abdelrazik S, Abuhmed T, Amer E, Ali F, Hu J-W, El-Sappagh S. ”Comprehen- sive Survey of Using Machine Learning in the COVID-19 Pandemic”. Diagnostics. 2021; 11(7):1155. DOI:https://doi.org/10.3390/diagnostics11071155.

Eslam Amer. ”Permission-Based Approach for Android Malware Analysis Through Ensemble-Based voting Model”. Proceedings of IEEE International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), pp. 135-139, 2021.

Eslam Amer, Ahmed Hazem, Omar Farouk, Albert Louca, Youssef Mohamed, Michel Ashraf. ”A Proposed Chatbot Framework for COVID-19”. Proceedings of IEEE International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), pp. 263-268, 2021.

Seif ElDein Mohamed, Mostafa Ashaf, Amr Ehab, Omar Shereef, Haytham Metwaie, Eslam Amer. ”Detecting Malicious Android Applications Based On API calls and Permissions Using Machine learning Algorithms”. Proceedings of IEEE International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), pp. 1-6, 2021.

Ivan Zelinka, Thanh Cong Truong, Diep Quoc Bao, Lumir Kojecky, Eslam Amer. ”Artificial Intelligence in Astrophysics”. Springer Nature, pp. 1-28, 2021.

Aya Hatem, Hanya Mohammed, Eslam Amer, Hamada Nayel ”Machine Learning-Based Model for Sentiment and Sarcasm Detection”, Proceedings of the Sixth Arabic Natural Language Processing. Workshop, pp. 386-389, 2021

2020: Eslam Amer, Shaker El-Sappagh, Jong Wan Hu. ”Contextual Identification of Windows Malware through Semantic Interpretation of API Call Sequence”.Applied Sciences, 2020; 10(21):7673. DOI:https://doi.org/10.3390/app10217673

Shaker El-Sappagh, Hager Saleh, Radhya Sahal, Tamer Abuhmed, S.M. Riazul Islam, Far- man Ali, Eslam Amer. ”Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data”.Future Generation Computer Systems, 2020, DOI:https://doi.org/10.1016/j.future.2020.10.005

Eslam Amer, Ivan Zelinka. ”A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence”. Computers & Secu- rity,2020, DOI:https://doi.org/10.1016/j.cose.2020.101760

2019: Eslam Amer, Ivan Zelinka. ”An Ensemble-Based Malware Detection Model Using Mini- mum Feature Set”. Mendel Journal of soft computing, Vol. 25, No. 2, PP. 1-10, 2019

Eslam Amer. ”Enhancing Disability Determination Decision Process Through Natural Language Processing”. International Journal of Applied Research on Public Health Manage- ment (IJARPHM), Vol. 4, No. 2, PP. 15-28, 2019

John Hani, Mohamed Nashaat, Mostafa Ahmed, Zeyad Emad, Eslam Amer, Ammar Mo- hammed. ”Social Media Cyberbullying Detection using Machine Learning”. International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 10, No. 5, PP. 703-707, 2019

Rana Ehab, Eslam Amer, Mahmoud Gadallah. ”English-Arabic Hybrid Machine Trans- lation System using EBMT and Translation Memory”. International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 10, No. 1, PP. 195-203, 2019

Sherry Girgis, Eslam Amer, Mahmoud Gadallah. ”Deep learning algorithms for detecting Fake News in Online Text”. 13th IEEE International Conference on Computer Engineering and Systems (ICCES 2018),(pp. 93-97).

Diaa Salama Abdul Minaam, Eslam Amer. ”Survey on Machine Learning Techniques: Concepts and Algorithms”. I.J. of Electronics and Information Engineering, Vol.10, No.1, PP.34-44, Mar. 2019

2018: Mohamed Abd-Elfattah, Eslam Amer. ”The Design and Implementation of Quality Deci- sion Support System (QDSS) Accordance with NCAAA Framework for Higher Education” Asian Journal of Information Technology, Volume 17, Issue 1, PP 52-59, 2018

Mohammed Hesham, Bishoy Hany, Nour Foad, Eslam Amer. ”S-Trailer – Automatic Movie Trailer Generator using only subtitles”. 1 st IEEE International Workshop on Deep and Rep- resentation Learning (IWDRL 2018), pp.26-30. 2018

Rana Ehab, Eslam Amer, Mahmoud Gadallah. ”Example-Based English to Arabic Machine Translation: Matching Stage Using Internal Medicine Publications”. 7th Proceeding of International Conference on Software and Information Engineering (ICSIE 2018), PP 131-135, 2018

Eslam Amer, Ayman Nabil. ”A Framework to Automate the generation of movies’ trailers using only subtitles”. 7th Proceeding of International Conference on Software and Informa- tion Engineering (ICSIE 2018), PP 126-130, 2018

2017: Eslam Amer, Mohamed Abd-Elfattah. ”Adaptive model for Disability determination deci- sion process based on Natural Language processing”. Research journal of applied sciences, Volume 12, Issue 7, PP 384-391, 2017

Noha Ali, Eslam Amer, Hala Zayed. ”Understanding Medical Text Related to Breast Can- cer: Review of current status” In 3rd International Conference on Advanced Intelligent Sys- tems and Informatics (AISI 2017). (pp. 280-288). Springer, Cham. 2017

Eslam Amer, Heba M. Khalil, Tarek El-shistawy. ”Enhancing Semantic Arabic Information Retrieval via Arabic Wikipedia Assisted Search Expansion Layer” ” In 3rd International Con- ference on Advanced Intelligent Systems and Informatics (AISI 2017). (pp. 500-510). Springer, Cham. 2017

2016: Eslam Amer, Mohamed Abd-Elfattah. ”Can Wikipedia be a Reliable source for translation? Testing Wikipedia cross lingual Coverage of medical Domain”, IOSR Journal of Computer Engineering (IOSR-JCE), Volume 18, Issue 3, PP 16-22 , May 2016

Eslam Amer, Khaled Foad. ”Keyphrase Extraction methodology from short abstracts of Medical Documents”, Proceedings of the IEEE 8th Cairo International Biomedical Engineering Conference (CIBEC 2016), pp. 23 – 26, 2016.

Eslam Amer, Khaled Foad .”AKEA: An Arabic Keyphrase Extraction Algorithm”. Proceedings of the 2ndInternational Conference on Advanced Intelligent Systems and Informatics 2016. AISI 2016 Advances in Intelligent Systems and Computing, vol 533. Springer, Cham, PP 137-146, 2016

Eslam Amer, Heba M.Khalil, Tarek El-shistawy. ”Hierarchical N-gram Algorithm for ex- tracting Arabic Entities”, Proceeding The 10th International Conference on Informatics and Systems (INFOS2016). pp. 63-67, 2016.

2015: Eslam Amer. ”Enhancing Efficiency of Web Search Engines through Ontology Learning from unstructured information sources” , Proceeding of 16th IEEE International conference of Information Integration and Reuse (IRI2015), PP.542- 549, 13-15 August 2015. San Francisco, USA.

2014: Mohamed Abd-Elfattah, Turki Alghamdi, Eslam Amer. ”Dashboard Technology Based Solution to Decision Making”, International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), Vol. 4, Issue 2, pp. 59-70, Apr 2014.

2011: Aliaa A.A. Youssif, Atef Z. Ghalwash, and Eslam Amer.” HSWS: Enhancing efficiency of web search engine via semantic web”. Proceeding of the 3rd International Conference on Management of Emergent Digital Ecosystems (MEDES’11), pp. 212-219, 2011.

Aliaa A.A. Youssif, Atef Z. Ghalwash, and Eslam Amer. ”KPE: An Automatic Keyphrase Extraction Algorithm ”, Proceeding of IEEE International Conference on Information Systems and Computational Intelligence (ICISCI 2011), pp. 103 -107, 2011.

2005: M.I. Eladawy, Aliaa A.Youssif, Eslam Amer. ”Finding related Hubs and Authorities based on swarm intelligence” Journal of Engineering sciences, Assuit University, Vol. 33, No. 2, pp.527-538, March 2005.

M.I. Eladawy, Aliaa A.Youssif, Eslam Amer. ”Finding related Hubs and Authorities based on swarm intelligence” 2nd International Conference on Intelligent Computing and Informa- tion Systems (ICICIS proc.), pp.347 -353, March 2005. Cairo – Egypt.

Teaching Courses

List of Courses that I currently teach and previously taught

Under graduated Courses

• Compilers
• Theory of Computations
• Machine Learning
• Artificial Intelligence
• Data Structure
• Introduction to Computers
• Neural Networks
• Algorithms
• Object Oriented Programming

Post graduated Courses

• Information Retrieval
• Natural Language Processing

Top projects

Malware Detec- tion/Prediction

Online news popularity

Twitter Senti- ment Analysis

Assisted Trans- lator

Production recommenda- tion based on reviews

Smart-Trailer

WikiTranspose

Disability Pro- motion System

The goal of the project is to detect and predict whether a program is ma- licious or not based on the API calling sequence . We build two Markov chain models that represents malware and goodware, and we determine whether a file is malicious or not based on the highest likelihood between the two models.

PL used: Python

The goal of the project is to predict the popularity of online news based on several attributes (61 attributes). We applied several classifiers like decision tree, random forest, and SVM. Decision tree was the best classifier that returned best classification accuracy (88.04 %)

PL used: Python

The project aimed to analyze whether a tweet sentiment is positive or negative or neutral. The Data set was collected from health news tweets at UCI Machine Learning Repository

PL used: Python

A machine translation project (English to Arabic). It is a glasses used by blind people to facilitate the process of reading articles, such as books, letters, or other paper files. Initially, original text is captured through using a micro-camera, then all text contents are extracted. Extracted text are translated using Google API, finally, the translated text is converted to a sound file heard by the blind through an earphone connected with air glasses.

PL used: Python

Using Natural language processing to produce rating for any product based on the sentiment analysis of users’ reviews. In this project, the challenge in this project was dealing with common Arabic terminologies as input reviews.

PL used: Java

The objective of the project is to Use NLP and machine learning to gener- ate an automatic movie trailer. Our intention is to capture the important scenes from movies based on its associated subtitles (Dialog between ac- tors) to automatically create a movie trailer relying only its subtitles. The average precision and recall of resulted trailers was about 47% respectively compared to the original trailer.

PL used: Python + NLTK
Developing cross-lingual query translation system from (English – Por-

tuguese) and (Portuguese – English) queries. PL used: PL used: C#

Using natural language processing and bio-medical text mining to deal with data stored in patients’ electronic health-care records (EHRs). The Sys- tem extracts relevant medical entities and builds relations between symp- toms and other clinical signature modifiers and use it as evaluation fea- tures. The system decide based on the extracted features decide whether an applicant should gain disability benefits or not

Hybrid Seman- tic Web Search (Hsws)

Intelligent Tu- toring System

Garage Market

Scheduler

3-D Hardware modelling

Supervision

PL used: Python + NLTK

Introduced a semantic ranking layer that is positioned over any Web search engine; its function is to re-rank documents based on the semantic rele- vancy to initial user query.

PL used: C#
An intelligent agent that is based on Fuzzy Expert System. The objective is

to help students to understand organic chemistry course. PL used: C++

Web-based application for buying and selling unneeded equipment’s . PL used: ASP + Java script

Generate faculty timetable based on staff requirements. PL used: JAVA

Virtual reality project which introduce a virtual tour inside the Computer hardware. The project aimed to model and simulates all internal hardware operations to students.

PL used: VRML + Java script

1. Heba Khail
Thesis: Using NLP to Enhance Search Engine Retrieval for Arabic queries.

Completed and granted

  1. Rana Ehab Completed and grantedThesis: Automatic Machine Translation in Medical Domain.
  2. Sherry Girgis Completed and grantedThesis: Detecting lies from online review text.

References

Provided upon request